Loading...

Stefan Otte: Deep Neural Networks with PyTorch | PyData Berlin 2018

32,836 views

Loading...

Loading...

Transcript

The interactive transcript could not be loaded.

Loading...

Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on Aug 1, 2018

Learn PyTorch and implement deep neural networks (and classic machine learning models). This is a hands on tutorial which is geared toward people who are new to PyTorch.

PyTorch is a relatively new neural network library which offers a nice tensor library, automatic differentiation for gradient descent, strong and easy gpu support, dynamic neural networks, and is easy to debug.

Slides: https://github.com/sotte/pytorch_tuto...
---
PyData Berlin 2018

www.pydata.org

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

Comments are disabled for this video.

to add this to Watch Later

Add to

Loading playlists...