Actions for Introduction to deep learning using PyTorch : create simple neural networks in Python using PyTorch

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Introduction to deep learning using PyTorch : create simple neural networks in Python using PyTorch / with Goku Mohandas & Alfredo Canziani

Author
Mohandas, Goku
Published
[Place of publication not identified] : O'Reilly, [2018]
Physical Description
1 online resource (1 streaming video file (1 hr., 27 min.))
Additional Creators
Canziani, Alfredo
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Summary
"This video will serve as an introduction to PyTorch, a dynamic, deep learning framework in Python. In this video, you will learn to create simple neural networks, which are the backbone of artificial intelligence. We will start with fundamental concepts of deep learning (including feed forward networks, back-propagation, loss functions, etc.) and then dive into using PyTorch tensors to easily create our networks. Finally, we will CUDA render our code in order to be GPU-compatible for even faster model training."--Resource description page
Subject(s)
Digital File Characteristics
data file
Form of work
Videorecording
Note
Title from title screen (Safari, viewed February 22, 2018).
Release date from resource description page (Safari, viewed February 22, 2018).
Bibliography Note
Includes bibliographical references and index.
Participant/Performer Note
Presenters, Goku Mohandas, Alfredo Canziani.
View MARC record | catkey: 37445916