purvasingh96/Deep-learning-with-neural-networks
This repo contains various use-cases of deep-learning implemented in Pytorch. It also contains summarized notes of each chapter from the book, 'Deep Learning' written by Ian Goodfellow.
This repository is a learning resource for anyone interested in deep learning. It provides summarized notes, PDF explanations, and practical code examples (Jupyter notebooks) across various deep learning topics. It’s designed for students or self-learners who want to understand and implement neural networks using PyTorch.
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Use this if you are learning deep learning and want a structured collection of theory notes and hands-on PyTorch code examples.
Not ideal if you are looking for a plug-and-play solution or a library for immediate deployment in a production environment.
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Mar 14, 2021
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