surpoloyang/d2l-notebook-with-exercise-answers-pytorch
Exercise answers of d2l JupyterNotebook based on PyTorch（基于pytorch的《动手学深度学习》JupyterNotebook练习解答）
This project provides detailed solutions and explanations for the exercises in the 'Dive into Deep Learning' (d2l) textbook, specifically using the PyTorch framework. It offers Jupyter Notebooks that walk through the code and theory, helping learners understand deep learning concepts and build models. This is for students, researchers, or anyone learning deep learning who wants to verify their understanding and see practical implementations.
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Use this if you are studying deep learning with the d2l book and PyTorch, and you need worked-out examples and exercise answers to deepen your understanding.
Not ideal if you are looking for a high-level deep learning library for immediate application without diving into the underlying theory or if you prefer a different deep learning framework like TensorFlow.
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Jupyter Notebook
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Apache-2.0
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Last pushed
Nov 11, 2024
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