 Yeah, hello. Very good afternoon to all the students. Hello students. Can you hear me now? Can you please reply me on the chat box? Can you hear me now? So, can you hear me now? Okay, now I can see yes. Okay, good, good. Okay, thanks. Thanks for replying. Actually, I was just seeing no one knows why I just thought what happened. Okay, great. Okay, so now it's 3pm. Okay, we are good to go. Okay, so now what we are going to do is I'll just first give you a short recap of what we did yesterday. That will give you more clarity. Okay, so let's start with it. So I'll just stop the slide. So yesterday we talked about the object detection, the celebrity detection. Right, so let me just, I think you might have also seen the presentation. Okay, so yesterday we understood what exactly is object detection, what are the different applications like some of you told that like it's a self-driving car, right? Okay, so now we may, you can see we made a celebrity detector. Also in the presentation, so am I audible to you now students? Can you hear me? Yeah, my, so okay, can I have your response? Okay, why, why, yes, okay. I think now I'm audible, right? Okay, wonderful. Okay, great, great, great. So just give me a minute. I'll just ask you in pole so that even this can be like helpful for me. So just answer this poll for me. This will give me a better idea. Okay, so now I think I'm audible to you all. Right, so students, so today what exactly we are going to do today is like we are going to learn about machine learning. What exactly machine learning is, how we can work with it. Right, so I'll just end this poll. So thanks for your response. Okay, so for credit code and everything as I mentioned, you can always feel free to ask on the chat. Okay, within a within few like hours, we will respond you there. Although the code for the credit is AI camp. Okay, A-I-C-A-M-P. Okay, so you can use this code A-I-C-A-M-P code for using it for credits. Okay, great. So now I'll just share my slide and we will move towards the today's session that is machine learning. So what is credit? So credits are nothing, student, for some of the facilities in pictoblocks, it is like you are, you have the students, I will request other like not to please spam the chat. Okay, you Raj Singh, please not to spam the chat. Okay, if it shows invalid code that means you might have already used it or if not just check the spaces. Okay, I think now it's very clear. So I would request the students not to spam the chat. Okay, great. So okay, so now I'm sorry, I think we have just opened the mass detector so but today we are going to learn about the cat versus dog. Yeah, so not an issue because like both are the same thing. Okay, so both are part of machine learning. There is a very slight difference between. Okay, so now what you have to do is see there will be certain limitations for the students who are using it on the Android phones. Okay, but trust me, just you have to follow my things and what am I telling you so that you can complete your projects you can understand all the things very clearly. Okay, so now to start with today's basically we are going to learn what exactly is human learning what exactly machine learning cycle is right. So now to start. You can see on the screen that machine learning what exactly might have heard of machine learning. Right. So what exactly machine learning is students. So yeah, I would request not to spam the chat. Okay, you can submit the projects later but not later than 28 try to complete your assignments and everything by 28. Okay. Yeah, you can submit it later. So students these type of questions you can always ask in the chart. Okay, right now if you have any conceptual doubt ask those things. Okay. Other than that you can ask us on the chart we will reply you okay might be we might sometimes get late but we will reply you soon. Okay. So, like as I said machine learning is a subset of artificial intelligence is nothing a different but in machine like if I say artificial intelligence is a globe. So machine learning is one of the country in it. Okay, because machine learning basically helps you to make your machine learn the things. Okay, and then like as I said artificial intelligence is something which is making your machine smarter. Right. So we are making our machine learn then we're making our machines smarter. So this is the way basically you will be understanding about machine learning. But to make you understand it much more in a better way, you have to understand what is human learning. So when we talked about artificial intelligence, we talked about human intelligence. Similarly, when we are talking about machine learning, here we are going to understand about human learning. So students you can see that human learning has four major parts. Okay, basically it has four major parts. And the four major parts are four major steps are sense environment, analyze information, decide and act and increase the knowledge. So what are these four things. Okay, so I would just like to give you an example. Okay, and I want everyone to focus here. Okay, so if you are finding any problem students. Okay, we will share you the link, don't worry. And, okay. So I was explaining you about just a moment let me stop the chat. Okay, so I have just like disabled the chat students because I can see so many students just spamming it. So because we have to learn the things okay students so you don't have to like get worried if you have any problem you know where to contact just put the chat and I think okay I am like, I know very well that within 24 hours I think you're all might have a solution for your problems right. So we try to get you the solution as soon as possible, but sometimes it take time. Okay, so we requested to put all your questions anything which is coming to your mind to the chat in the website. Okay, and here you want to ask to ask only conceptual questions, like if you are not able to hear me if you are not able to understand, right. So now to make you understand this human learning process, I will give you a very good example. Okay, so just think when you were very, very young. Okay, so what happened at that time students that definitely when we are born we don't know what is human. What is cat what is dog what are animals, right, but how do we get an understanding about it. Have you ever thought about it. So I'll tell you what happens when from the very early age students, we start learning from the pictures. Okay, so generally in our childhood we all have a picture book if you might have been like if you might have the younger brothers and sisters, you might have seen that they have a very picture book. So what happens with the picture book. So in picture book there are photos of different animals, different vegetables, different, different objects, right, and from there our learning gets started and how it gets started is we start seeing the pictures in the picture book and also started analyzing also start analyzing those things, right. So like if I like when we were very child so we were able to now like make the decision what is cat and what is dog. Also we used to see the surroundings of the cat and dog in the picture. Okay, now what happened you when you grew up a little bit. So students I would request you not to like put the charts and right now okay on the website also. So as I said, like if in case like when you grow up okay and when you go out of the house with your parents or guardians or teachers, they show you the real cat dogs and different animals. Okay, and there you start analyzing it that okay this is the same cat same type of cat which I have seen in my book, right, although color might be different. Okay, there is a high chances that color will be a different. Okay, but still the ears, the eyes, the nose, the body structure will be very very same. Also along with that students what happened is like you start analyzing more information. What are those information like cat can climb the walls, but dogs can't right and dogs are some like you can say dogs are little furious. Okay, if like if this is an street dog or dogs roaming around so they can put you in danger sometime right so here you start understanding gaining the knowledge okay and analyzing the information about the animal. Then what happened one day that you thought of like going to your friends home right and when you took your bicycle or your bike and you went out to your friends home. You just saw a group of dogs. Okay, you just saw a group of dogs. So what did you decided there? Did you vent from the group? No, what did you decided that let's go home because like if I'll be going near to this group of dogs they might bite you or they might chase you. Right, so this was the decision taken by you after analyzing a certain information right so here students this is the step number three. Now what happened that you came back your home okay and now again your second friend called you and told you to come to his or her home and you took your bike took the second way and went out to the home of your friend. And what happened there when you reached inside the home there was a dog and running and coming towards you. So the first time you saw that dog you just got feared and thought I just left so many dogs at the street thought thinking that I will I might get hurt with it but still I got stuck somewhere here in my friend's house where there is a dog. But your friend comes up okay and it he or she asked you and tells you basically so this is not a street dog this is our pet dog it is not going to bite you you can play with it very generically you can play with it very smoothly. Okay, so now here you increase your knowledge. Okay, that all the dogs are not so harmful or I should say all the dogs are not so dangerous right. And here this step number three that is decision in acting and increasing the knowledge is the two steps students which will be working together. So there will be so many time your decision will be wrong. Okay, there will be so many times even in the exams what happens like we give the exam and by mistakenly or like if we forgot we like incorrect the question right we write the wrong answer. But that is not the problem the main focus of your mistakes should be that you should learn from it right so what should you do you should learn from it so after learning that you will increase your knowledge and again you are not going to make that mistake. If by chance you made that same mistake again not a problem you will increase your knowledge and then again you are not going to make that problem make that yeah you are not going to make that I think problem rate. So in this way, the third and the fourth step goes on. Okay, you keep increasing your knowledge and your decision making capabilities become very good. So this is happens with the machines also. Okay, what happens is like machine is also going to take some decisions if those decisions are wrong again those decisions will be updated. But if I talk about again a human learning, what do we do in human learning in human learning, we generally use our senses, that is sight, hearing, touch, smell, right. And there might be certain times students you might be sitting at your room and you just heard the barking of I won't say the name the barking of an animal outside your home. But still you were able to understand and recognize that this sounds is made by dog. Why? Because you are using your hearing senses, right. Also, I give you very good example. So if you are going to any sweet shop, right. You are not going to taste all the sweets there, right. Just by seeing the sweets you are able to judge that this is going to be very sweet. Okay, or if you are seeing some other things, so you are able to judge that this is not going to be sweet. This might be something very spicy, right. These are things are you are able to do just by your knowledge. Okay, which has been came up to you using the senses. Now, talking about the human, so we have talked about the human learning. Now talking about the machine learning. So in machine learning also students, it will go in the same direction. What happened there is you give the input. So in your case, what was the input? Your input was those small images what you saw in your childhood. Similarly, we have to give the input to the machines also in the form of pictures, in the form of audio, in the form of video, right. Along with that students we have to name that pictures also. Like if I will be giving a dog image to the machine, my machine won't be able to directly know this is a dog. First I have to make my machine learn that see this is a dog look like this is a cat look like and we have to give number of images. Like we will give a number of images of dog. We are going to give the number of images of cat and what is going to happen in the second step you can see it is a model. So what is model? So model is basically a calculation students which is working behind all the decision making power of machine. I won't take you right now into so depth of model, but to make you understand what exactly and how model works a model students work on the picture given by you. So there is a sort of calculation which happens there and those calculations are based on the similarities of like one kind of pictures like if I talk about dog and cat. So if you are going to give the dog images so there will be certain similarities between all the dog images and there will be certain differences between the dog and cat images. So this sort of calculation happens and you will be learning it later. But for as of now you should know so there is a calculation okay it's not something like it's just doing by its own. There is a sort of calculation which is based on the image okay and after that once the machine is learn all these things then it is going to directly give you the decision the output. Okay. So there what exactly the machine learning cycle is so here you can see first we define an objective that what we want to make how we are going to make it how many classes we are going to use whether I'm going to give what type of data I'm going to give whether I'm going to give image whether I'm going to give sound or pose right after that we find the data okay because data is also very important you can't work directly without the data right. So you should have appropriate data so that your machine can learn very easily right after that students those data are given to the machine and they start working on it under the model. And after that we are able to see that how it is going to work. Okay so I'm going to like first show you things so don't panic I will be sharing you each and every detail you know my emails goes to you regularly. Okay if within I should like let me tell you like once the class is over within two hours you will be getting the things in your email like the resources like the links. If any there is a work of any link with you so all those links will be sent to you okay you don't have to worry about it. Okay so now I'm going to stop the slide here and I want to know whether this part is clear with you all or not so I'll just have a short poll with you. So till here everything is clear can you please respond me till this part like how exactly we are working how exactly machine is working okay can I have a response with you all guys. Okay great great it's wonderful to see such a good number okay great. So now this is very clear to all of you now we are going to do a hands on okay so I will be explaining each and every part I want everyone to be just follow me. Okay and the things whatever whatever I will be doing with laptop will be only for the students who are using laptop and desktop. Okay the things whatever I am going to do with my mobile phone will be only for the Android phone. So there is a little sort of I should say limitations okay I will explain you the limitation that what are the things you can't do with the Android phone. Okay so now I'll just share my screen and open the pictoblocks. Okay so now I think my pictoblocks screen will be visible. Okay so on the left hand side corner students you are going to see an option of extension so you have to click on extension and here you have to use machine learning today. Okay so when I am going to click on machine learning the students focus here okay so this is very important as soon as I click the machine learning there are no blocks right. Okay so there are no blocks here right now student you have to see that how we can bring the blocks here so first we are going to create a model. Okay so I am going to click on create a model and like I am going to move to the teachable machines platform. Okay so I think my screen will be visible to all of you I will just check. So I am enabling the chart students I will just take the poll that would be better. So can you please answer me this. Okay great so I am going back to this teachable machine. Okay so here students this is a platform of a Google where we are going to make our model. Okay and just think how we are going to make it everything I will be sharing you you don't have to worry. Okay just think how we are making it and understand the process. Okay so I am going to click on image project because I want to make an image project. Now what I want here is I want to make a standard image model. Okay we have to choose this standard image model. Once clicking over the standard image model you will see something screen like this. So it might look very typical but it is going to be so many. So the first thing what is class? Okay so classes are the name or I should say are the label of the images which you are going to give. So like if I am going to give the image of cat here so I will write cat. Okay now I will upload the cat images from my laptop. Or I should say I will just upload it from my PC. So I will just go to desktop. I will just go to my demo files and dog versus cat. So this folder I will be sharing with you. You don't have to worry where you will get the pictures and everything. I will be sharing you a link from where you can download this folder that is dog versus cat. Okay so you don't have to worry but everything will be shared after the session. So I am going to click here on cat versus dog. So now there are two folders training data and testing data. So what is training data and testing data? So students if I ask you one question like if I give you one like if I teach you one equation that is let's assume my equation is 4 plus 2 is equal to 6. Now if I am going to ask the same equation in your exam will that make sense? Of course not. Because you have learned it very well that even without calculating you are going to give me the answer. So that similar way the machine also learns the thing. It doesn't happen like that it should learn the things. That's why we have kept two folders that is training data and testing data. So in training data and testing data the images are going to be different. The images are not going to be same in training and testing. So we are going to make our machine learn with different type of images and going to ask on certain different images. So I am going to click on training data and I will go to cat and I will select all the images here and I will click on open. So this is going to open all the images here. So now you can see 10 cat images have been uploaded. Now similarly I am going to upload the images for the dog. So I will go back here I will go to dog and I will select all and I will just put it here. So now you can see I have given the cat images and in class 2 I will write a dog. So now I have cat images I have dog images. So now I am going to click on train model and when we are doing a train model students there will be a certain calculation which will be happening just behind on the basis of the images of cat and the dog. The machine is going to find the similarities in all the cats and similarities in all the dogs. Also it is going to find the difference between the cat and the dog images. So now I will select here file. So because I was a human so it gave me around 50-50. So what am I going to do here is now I am going to test this using the testing data. So in the testing data students the images of cat and dogs are mixed. And also these all images are different from the images which I have given till now. So let's take image number 6 and I will click here open. So now you will be able to see here that it is saying this is a dog. So this was the part how we trained the model. And this part you will be doing only in a desktop version. You can't do this in an Android. So I will tell you how you are going to do it in Android. After this students one we have prepared this model. Now what we want to do is we want to export this model. So now we want to export this model. Exporting a model means that I am sending this all details to the teachable machine. And here you will see and upload my model. So it is all the things related. I should say all the calculations related to this will go and save with teachable machine. Why am I doing this? Because I don't want to take all these things. I want only one link so that I can perform good activities. I can make good projects in the pictoblocks. This will make my pictoblocks heavy. So this is why I have uploaded all these details to the teachable machine itself. After doing that you can see I have got this link. So this is the link which is very important. So I will copy this and I will just cross this. And I will go back to the pictoblocks. Now you have to see here very carefully. Previously what we did was how we went to the teachable machine by clicking on create model. So now we have created a model. So if I want to load that model calculation I will click on load model. And here I am going to paste that link. And after pasting this link I am going to paste it. I have pasted it. I will just select load model. And you will see a magic. There were no blocks till now. But if I am going to load the model students you have to see that the blocks will appear here. Also make sure you are pasting the link properly. Of course some students are asking can we use our own images. Of course you can use your own images there is no problem. But images should be of good quality so that everything works properly. So it will take a little bit of time as this is something which is on internet. So it is loading. So what I will do is I will stop my share. And I will come back to you till the time it will load so that we can talk and take your doubts if you have any. So let me just switch on the chat. But I want no one to spam the chat. Please make sure that you are not spamming the chat. So can I ask a question with you that is everything clear till now? Is everything clear till now students? You are able to understand what we are doing. Good. I can see a good number here. Okay great. So now I am just ending this poll. And I will just go back and share my screen. And also let me just paste this link with me. I will be sharing you the link and everything student. So now I am going to share my screen. And we will go to the pictoblocks now. So now after loading the students what happened you can you see that so many blocks came up. And also you can see these blocks have came up with the same class which I have used. Okay. So now what you have to do is we have to make a cat doc classifier where my pictoblocks is able to identify whether this is a cat or this is a dog. So the first thing is I need the images. So I will go to backdrop and I will just upload some backdrop. So uploading a backdrop is just selecting all the testing data. Okay. I am just selecting all the testing data. So project link how to copy I am going to show you don't worry about it students. Okay. So I will just go to backdrop let me check all the images are here. Okay. So now students we have brought all the images. Right. Now what we have to do? Okay. We should have a plan also right. So first thing is we are going to bring this when green flag is clicked. Okay. Now I am going to bring a forever. Okay. And then forever we are going to test what we are going to test that the weather the image on the what what is the name of the image on the stage. So how can we do it? So you are going to see some of the blocks here. Right. So what I am going to do here is I am going to bring this block. Okay. And I am also going to bring the if. So now students you have to change this web camera to stage. And I am asking a question is identified class from the stages cat. If this is going to be cat. My Toby should say this. Okay. So by mistakenly I have like just let me stop this. Okay. So I have by mistakenly just did this into somewhere else. So let me go here. Okay. So what I am going to do here is now I have got it in my stage. So by mistakenly I just made this. I was trying to make this program into the backdrop. I just forgot to select the sprite. I will be selecting the sprite. Okay. Now the same part I will be doing it again. Okay. So I will go to looks. Okay. And I will bring this say what I wanted to say this is cat. Right. Similarly student I will bring one more control if right. And here I am going to check whether it's a dog or not. So I am going to bring this block again. Instead of web camera I will choose a stage instead of cat I will choose dog and I will ask it to say if you find this is a dog. Just please tell me this is dog. Okay. And I just forgot to like capitalize this. Okay. So now I'm going to put it both into the forever. And what it is going to help me is it is going to let me know exactly what is the picture what animal is on the picture. So let me just press the green flag. So now you can see this is a cat. Right. If I'm going if I now I want to change the just try to understand if I want to change the backdrop. Right. So this we yesterday also did so we chose choosing a backdrop. Right. So if you'll be clicking on next backdrop and again I will see asked it. So this is cat it is saying okay again I'll bring it. I'll just stop it here and I'll ask what is it. So this is cat. I'm going to bring this what exactly it is. It is saying this is dog. Okay. So now you can see that I was clicking on next backdrop every time and every time it was working. So now if I wanted to work automatically I'll put the block inside it. Okay. Let's see whether it's working or not. So you can see it is working but it is working with very high speed. We are not able to see it. Okay. So I'm sorry. So I'm going to just put a little weight here so that every time it changes I should get a little weight. So you can see this is cat. This is dog. This is cat. Okay. So image came late. Yeah. So this is again a cat. This is also a cat. Okay. This is dog. So this is how we exactly made it very easily. Right. So now I think this part is very, very clear that how you made this program. Okay. How you uploaded the backdrop now talking about the phone. So I'll just stop my share and take you to the Android part because it is very necessary to see it. Okay. So what am I going to do here is let me just bring the Android screen to you. So how do you know how to increase the credit if you have so right now you don't need credit now. Okay. For all these projects you don't need credit for only one project. The credit was required. Okay. Now you don't need the credit. So you don't have to worry for the credit of very means you even don't need to think what is credit. Just go on doing the things and if you're finding any trouble. Okay. As I said you like any other trouble other than conceptual and anything just put it on the chat of the website because there we are going to help you with those things. So now to explain you the part how we are going to do it on the Android phone. I'll just share my screen. Okay. And I think my phone screen is visible to you all. So here is the some of the things are very basic. Okay. Like I'm going to click on my space. After going to my space. I'm going to click on add button. Okay. Once you will be reaching here. Okay. So it is just opening. It will open in a few moments. So as I said students you don't have to worry for the credit here because credits are not going to be used in all projects. So there was only one project where you needed the credit. Okay. So now students you have to think one. You have to see one thing very important as I said you can't make the models into the Android or I should say into the smartphones. But you can load those models. Okay. How you can do it is you are going to click on. I'm sorry. So I'll just stop my share for a moment and I'll just share that link to me so that even I can show you how we are going to do it. So just give me a moment. Yeah, I'm telling you the difference in mobile students. Don't worry. I'm just sharing that link to my phone so that I can show you all of those things. Okay. So just give me a couple of seconds. Okay. So I'll just start showing you from basically just give me a minute. I'll just show you the things were very basic for that everything is visible to you all. Okay. So now I'm going to share my screen. So students how you're going to do it. Okay. Yeah, I'll share you the folder link and as I said, don't worry. We will be sharing you towards the end. Okay. So now you have to see student what we are going to do to see. I am you are also not you are you will not be able to do it as like in your phone that you won't be able to just take down the pictures also. So I'm going to share you this file. Okay. Backdrop file. So when you are going to click this background file. Okay. You are going to see I'm just changing my screen just a second. Here it is. Okay. So now once you will be opening it, you will be able to see that all the backdrops have came up automatically. Okay. So I will be sharing you that file link which has all the backdrops. Okay. Last as I just shared to you last time. Similarly, today also I will be sharing this where you will be having all the images. Okay. Now the part is that you have to make the program. You have to put that file. So how you are going to do it. So the difference here students is that you can't make the model. Okay. But you can load the model. So I will be also sharing you the link of the model. So now what you are going to do here is just see very carefully. You are going to click on add extension. You are going to click on machine learning. Once you are going to click on machine learning, you have to click on load model. Okay. You don't have to click on create model because you won't be able to create it. Okay. So you have to click on load model. Once you will be clicking on load model, you will be able to see ice cream something like this. Okay. Now here students see it very carefully. If you are not going to paste any link here. Okay. Let me just show you if you are not, if your link is not pasted here. So what it is going to do, you know, it is going to fail the model. Now how you can do it is just click on the top where it is written load teachable machine model. Just click on that banner. Okay. It will remove the keypad. It will remove the keypad. Once you will be clicking here on load teachable machine model. And if your link is not pasted here, you are going to click on load model. So it will say failed load model. So if you are seeing this error that is failed to load the model, just understand that you have not pasted the link. Okay. Now what I'm going to do is I'm going to just click on the white space you can see on the top. And here what I have to do is I have to depress a little bit and there will option come up a come up of a paste. Okay. I will just click a paste here. So now you will be able to see that the link has been pasted. Now students, you don't have to press go or something. Okay. Now you have to again press on the load teachable machine, which is going to show like now you are going to get an option to load a model. And once you will click on this load a model, this time it will show that it is loading. So the failed to load model is like a error for the previous one. So you don't have to worry. Okay. It is showing that it is going to load. It will take a little bit of time because it's a big model. Okay. So the difference between the Android and the laptop will be that you students using the Android mobile won't be able to make that model but will be able to use that model. Okay. So I think I just went out of the webinar due to like because I'm just having a very stormy outside. Okay. It's very heavily raining. Okay. I'm really sorry. So yeah, the recording of the previous session has been uploaded. Okay. So I'm just going to share my screen back again to show you all those things. Just give me a moment. Okay. So that like I can share my screen back to you all guys. Okay. So I'm audible to you now. Can you hear me now students? Can you please reply on the chat box? So can you hear me now? Yes. Can I see? Yes. Okay. Great. Great. I can see. Yes. Now. You might have lost some of the things. Okay. So let me directly take you back to the picture blocks part. Okay. So what am I going to do here is I'll start with the fresh where exactly we were. Okay. Like on the WhatsApp of mine. Okay. I'll just share you that this can just give me a moment. Okay. I'm just sharing it again. Okay. So now my model was already loaded, but I'll just show it to you again. So I'm going to click on load model. Okay. This is going to bring some screen like this. I'm going to press on the center. I'm going to click on paste. I'm going to paste here and I'm going to click on load model. Once I'll be pressing it on load model. It will load the blocks here. Okay. So now after loading the block system, it is now very easy for you to make the thing easy here. So the same things I will be doing it here, like I'll bring event. I'll bring a forever. Okay. And I'll bring two if. So this is going to be same part. You already know till now that the coding is something which is going to be same in both the way. Right. I'll go to machine learning from web camera. I want here is a stage. I hear I want to scan. Okay. I'll put it on the top. Now on the second if what do I want is I wanted to be. Stage. I wanted to be dog. So let me hide this so that it becomes much more visible to you all. I'll go to looks like making it much complicated like let me directly write it cat here. Okay. And let me write it here directly the dog. Okay. And you can now see it here. Now if I'm going to ask it. Okay. Let me show like we already understood the concept is not it's better to like write those things previously. So I'll just change it to two. No, I think I just missed it. So I'll just press two and I'll just press done. So now you can see two and from the looks I'll bring next backdrop. It's the next costume. Let me just bring next backdrop and I'll go to my full screen mode. Okay. Okay. I'll just go to full screen mode and I'll press the green flag here. And now you will be able to see how easily it is able to detect the things. So it's little lagging on the screen. Yeah. Now you will be able to see. So now you can see how easily it is able to walk. So let me just stop this and now I'll just stop my share. This was the part basically we wanted to cover, but we can't create the link that link. Yeah. For students who are using the basically the Android phones, they won't be able to create the link. Let me now give you all the link. Okay. So that no problem remains with you. So for Android users, you will be in requirement of these two links. Okay. So these two links, you will be in requirement of okay, I just deleted because it doesn't seem squared. I just pasted back again. So this is the first link which will, which you will require is a cat backdrop and sorry cat and dog backdrop. Okay. So this is the first link of the file. This will Android users the cat and dog images in their project. Now the second Android users you have to do is you have to keep this cat and dog modeling. Okay. Now the things come up with the user who are using the, I should say they are using the laptop desktop. Right. So for them, let me just share you the link for downloading the data set that is the images of cat and dog. Okay. So I'll just share it to you. Just give me a moment in a couple of seconds. So other students, please keep this link with you because this will be very important. Right. So this link is for like basically for the users of laptop desktop link for downloading the cat and dog images. So now I think everything is with you as I promise like you will get the everything you don't have to worry. Okay. So just we want to like focus on the session more than these things because this is anyhow going to be coming to you. Okay. So you don't have to worry with that. You have to understand the concept and hope the concept is very clear to all of you. So I'll just take a small poll with all of you. Like did you understood the concept or not? So let me ask you this is everything clear now. So can you please answer me this students is everything clear now? Till now actually is great. Okay. So I also wanted to ask one question because like we are meeting daily now we have built up a small like a good connection to have been to me in the session also you have been sending you emails and everything. So I also wanted to know one more question with all of you and that question is so the question is are you enjoying the camp or not? Yeah. Okay. Great. It's a great actually it's superb to see this. Okay. I'm still waiting like once you like. Okay. Okay. Wonderful. Wonderful. That's good. Something I got today. That's enough. Okay. So now I'll just open the chat. So hope you have all taken these links. Although we will be sharing you these links on your emails also also please feel free to ask your questions on the like chat option. We will reach you within seven to eight hours. Okay. And we have so many people asking the question. So it needs a little bit of time to answer them because I have you might have received my answers and those are not just like an automated one. Right. So some of the students also asked one question in the chat is this artificial intelligence. So no student that was not an artificial intelligence. That was your artificial intelligence teacher. That is a huge. Okay. So hope you have all enjoyed the session. You are enjoying it. We will be sharing you all these details and we will be uploading this video also into the YouTube soon. And we would love to see you back on tomorrow. We will be making a mass detector. And yeah. So that's all for today. Hope you have learned it. Okay. So how to create a model link, how to create links of a model. So for creating a model, what you have to do is you have to choose a machine learning extension. You have to go to create model. You will direct it towards this teachable machine. There you have to image project. And then you will be able to like make the model. So our students have joined a late. Don't worry. We will be doing a short recap tomorrow. Also, you will be getting this replay video links. Okay. Okay. Great. So hope you have enjoyed it and hope you are liking the camp. You have already shown your love on the poles. It was really nice. So thanks again for being part. We love to see you all back tomorrow. And please complete your assignments. If in case you are finding any problem, please share your doubts on the. I should say the chat will be always there to help you. Okay. So thank you. And God bless you and take care. Bye bye.