YinGuoX/Deep_Learning_Pytorch_WithDeeplizard
主要来自Deeplizard的Neural Network Programming - Deep Learning with PyTorch是Deeplizard的中文+Colab版
This project provides a comprehensive, hands-on guide to building deep learning models using PyTorch. It walks you through the entire process, from preparing your raw data like images, to defining neural network architectures, training the models, and analyzing their performance. The content is designed for anyone, especially students or researchers, who wants to understand and implement deep learning in a structured, step-by-step manner.
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Use this if you need a detailed, practical guide to developing deep learning models with PyTorch, especially if you're comfortable with Python and want to learn by doing.
Not ideal if you are looking for a high-level conceptual overview of deep learning without diving into code, or if you prefer a different deep learning framework like TensorFlow.
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Jupyter Notebook
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Apr 18, 2021
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