rasbt/deep-learning-book
A comprehensive textbook on deep learning with hands-on Python code examples covering neural networks, CNNs, RNNs, and generative models.
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This repository accompanies a textbook on deep learning and artificial neural networks, providing hands-on code examples in Python using PyTorch and TensorFlow. It covers fundamental concepts like gradient descent, regularization, and modern architectures including CNNs, RNNs, autoencoders, and generative models, along with reinforcement learning basics. The content includes chapter manuscripts, exercise solutions, and supporting material for learners.
Frequently asked
- What is rasbt/deep-learning-book?
- A comprehensive textbook on deep learning with hands-on Python code examples covering neural networks, CNNs, RNNs, and generative models.
- Is deep-learning-book open source?
- Yes — rasbt/deep-learning-book is an open-source project tracked on heatdrop.
- What language is deep-learning-book written in?
- rasbt/deep-learning-book is primarily written in Jupyter Notebook.
- How popular is deep-learning-book?
- rasbt/deep-learning-book has 2.8k stars on GitHub.
- Where can I find deep-learning-book?
- rasbt/deep-learning-book is on GitHub at https://github.com/rasbt/deep-learning-book.