This full course video on Deep Learning covers all the concepts and techniques that will help you become an expert in Deep Learning. First, you will learn the basics of Deep Learning and understand how to install TensorFlow on Ubuntu. You will get an idea about what is TensorFlow and implement an algorithm using TensorFlow in Python. You will see how TensorFlow Object detection API works and learn the different Deep Learning frameworks. Then, you will apply convolutional neural networks and recurrent neural networks in Python. Finally, you will come across a few important Deep Learning applications and look at the essential interview questions. Now, let's get started and learn Deep Learning in detail.
Below topics are explained in this Deep Learning full course video:
1.Deep Learning: 02:13
2.Working of neural networks: 02:25
3.Horus Technology: 06:10
4.What is Deep Learning?: 06:50
5.Image Recognition: 07:00
6.Why do we need Deep Learning?: 10:20
7.Applications of Deep Learning: 11:40
8.What is a Neural Network?: 18:10
9.Biological Neuron vs Artificial Neuron: 21:20
10.Why are Deep Neural Nets hard to train?: 39:10
11.Neural Network Prediction: 42:00
12.Top Deep Learning Libraries: 1:12:50
13.Why TensorFlow?: 1:14:00
14.What is TensorFlow?: 1:16:10
15.What are Tensors?: 1:17:30
16.What is a Data Flow graph?: 1:20:20
17.Program Elements in TensoFlow: 1:22:50
18.TensorFlow program basics: 1:29:40
19.Use case Implementation using TensoFlow: 2:01:16
20.TensorFlow Object Detection: 2:20:46
21.COCO Dataset: 2:21:56
22.TensorFlow Object Detection API Tutorial: 2:31:46
23.Deep Learning Frameworks: 2:42:26
26.How image recognition works?: 3:18:16
27.How CNN recognizes images?: 3:26:06
28.Types of Recurrent Neural Network: 4:29:13
29.Working of LSTMs: 4:37:53
30.Deep Learning Applications: 5:16.21
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Simplilearn’s Deep Learning course will transform you into an expert in deep learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research. With our deep learning course, you'll master deep learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks and traverse layers of data abstraction to understand the power of data and prepare you for your new role as deep learning scientist.
You can gain in-depth knowledge of Deep Learning by taking our Deep Learning certification training course. With Simplilearn’s Deep Learning course, you will prepare for a career as a Deep Learning engineer as you master concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Those who complete the course will be able to:
1. Understand the concepts of TensorFlow, its main functions, operations and the execution pipeline
2. Implement deep learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before
3. Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces
There is booming demand for skilled deep learning engineers across a wide range of industries, making this deep learning course with TensorFlow training well-suited for professionals at the intermediate to advanced level of experience. We recommend this deep learning online course particularly for the following professionals:
1. Software engineers
2. Data scientists
3. Data analysts
4. Statisticians with an interest in deep learning
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