rasbt/deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
This project provides practical guidance and code examples for applying deep learning to real-world challenges like image and speech recognition. It takes complex raw data and processes it through artificial neural networks to identify intricate patterns and make predictions. This resource is for data scientists, machine learning engineers, and researchers looking to implement deep learning algorithms using Python and PyTorch.
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Use this if you want to understand and implement various deep learning algorithms from scratch, with a focus on practical applications and code using PyTorch.
Not ideal if you are looking for an introduction to general machine learning concepts or a purely theoretical, math-heavy deep learning textbook without practical code.
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Oct 02, 2020
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