The original Keras syllabus, maintained by its creator

What it does This repository is a single, exhaustive README.md acting as a curated index of Keras learning materials. It catalogs official documentation, video lectures, books, and hundreds of external code examples covering text classification, image segmentation, generative adversarial networks, and reinforcement learning. There is no source code here; the entire project is the list itself.

The interesting bit The index is maintained by François Chollet, Keras’s original author, giving it the authority of an official syllabus rather than a random aggregator. It also captures the era when Keras was a standalone high-level API, evidenced by tutorials that frame it as an optional component of a TensorFlow workflow.

Key highlights

• Curated by Keras creator François Chollet; accepts community pull requests for additions.
• Organized by domain: text (LSTMs, word embeddings), images (VGG, ResNet, U-Net), creative applications (style transfer, DeepDream, GANs), and reinforcement learning (DQN, OpenAI Gym).
• Indexes third-party extensions such as keras-rl, elephas (Spark integration), and keras-vis.
• Includes architectural blueprints like Siamese networks, stateful LSTMs, and neural programmer-interpreters.
• Links to educational materials from institutions including CERN and the University of Waterloo.

Verdict Best suited for developers exploring classic Keras patterns or researching the history of deep-learning frameworks. Those seeking the latest Keras ecosystem guides may find the scope dated.