yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
This project provides practical code examples for deep learning models, helping you understand how to implement various neural networks. You'll start with basic concepts like linear and logistic regression, progressing to more complex models such as Convolutional Neural Networks and Generative Adversarial Networks. It's designed for deep learning researchers and practitioners who want to learn how to build these models using PyTorch.
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Use this if you are a deep learning researcher looking for concise, runnable code examples to learn PyTorch by implementing various neural network architectures.
Not ideal if you are looking for a conceptual introduction to deep learning theory or a beginner's guide to Python programming.
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Aug 15, 2023
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