Up and running with PyTorch.

Format:

Video

Contributor:

Dinu, Jonathan, instructor.

Pearson (Firm), publisher.

Language:

English

Subjects (All):

Deep learning (Machine learning).

Python (Computer program language).

Physical Description:

1 online resource (1 video file (2 hr., 56 min.)) : sound, color

Edition:

[First edition].

Place of Publication:

[Place of publication not identified] : Pearson, [2025]

Summary:

Up and Running with PyTorch begins with an introduction to PyTorch and deep learning frameworks in general. You learn how the combination of automatic differentiation and transparent computation on GPUs have really enabled the current explosion of deep learning research. The video shows how you can use PyTorch to implement and learn a linear regression model as a stepping stone to building much more complex neural networks. Finally, the video demonstrates how to combine all of the components that PyTorch provides to build a simple feedforward multi-layer perceptron.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9780135446614

0135446619

OCLC:

1508833881