exacity/simplified-deeplearning
Study notes with simplified implementations of deep learning concepts from the DeepLearningBook textbook.
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This repository documents learning progress through the DeepLearningBook, featuring Jupyter notebooks with simplified implementations of deep learning algorithms and concepts. It covers foundational topics in neural networks, including coverage of frameworks such as TensorFlow, MXNet, and PyTorch.
Frequently asked
- What is exacity/simplified-deeplearning?
- Study notes with simplified implementations of deep learning concepts from the DeepLearningBook textbook.
- Is simplified-deeplearning open source?
- Yes — exacity/simplified-deeplearning is an open-source project tracked on heatdrop.
- What language is simplified-deeplearning written in?
- exacity/simplified-deeplearning is primarily written in Jupyter Notebook.
- How popular is simplified-deeplearning?
- exacity/simplified-deeplearning has 2.5k stars on GitHub.
- Where can I find simplified-deeplearning?
- exacity/simplified-deeplearning is on GitHub at https://github.com/exacity/simplified-deeplearning.