January 2025
Intermediate to advanced
698 pages
16h 48m
English
Content preview from Deep Learning and AI SuperheroBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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4.1 Introduction to PyTorch and its Dynamic Computation Graph
PyTorch distinguishes itself from other deep learning frameworks through its innovative dynamic computation graph system, also referred to as define-by-run. This powerful feature enables the computation graph to be constructed on-the-fly as operations are executed, offering unparalleled flexibility in model development and simplifying the debugging process. Unlike frameworks such as TensorFlow (prior to version 2.x) that relied on static computation graphs defined before execution, PyTorch's approach allows for more intuitive and adaptable model creation.
The cornerstone of PyTorch's computational capabilities lies in its use of tensors. These multi-dimensional arrays serve as the primary ...
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