geyang/deep_learning_notes
a collection of my notes on deep learning
This is a collection of educational notes and practical examples designed for individuals learning about deep learning. It provides step-by-step guides and code implementations for fundamental deep learning concepts, neural network architectures, and popular frameworks like TensorFlow. It's intended for students, researchers, or anyone building skills in machine learning who wants to understand how deep learning models are constructed and trained.
123 stars. No commits in the last 6 months.
Use this if you are studying deep learning and want to see concrete, working examples and explanations that complement theoretical textbooks like Nielsen's 'Neural Networks and Deep Learning'.
Not ideal if you are looking for a high-level overview of deep learning, production-ready code for immediate deployment, or a library to integrate into an existing application.
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Jupyter Notebook
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Aug 11, 2017
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