hzy46/Deep-Learning-21-Examples resource

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4677 stars · 1732 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Companion code repository for the Chinese book '21 Projects to Master Deep Learning with TensorFlow', containing 21 hands-on example projects covering CNNs, GANs, RNNs, and reinforcement learning. It serves as a practical tutorial collection for learning deep learning and TensorFlow through complete, runnable projects.

Use cases

• learn deep learning through hands-on projects
• learn TensorFlow with example code
• understand GANs like DCGAN, pix2pix, and CycleGAN
• implement image recognition and style transfer
• get started with reinforcement learning algorithms like Q Learning and policy gradients
• build text generation and machine translation models with RNNs

When to choose

• you want project-based tutorials covering CNNs, RNNs, GANs, and RL in one place
• you are learning with the companion book and want runnable code
• you prefer guided examples over abstract theory

When to avoid

• you need modern TensorFlow 2.x or PyTorch code
• you require maintained, up-to-date examples
• you cannot work with Python 2 and legacy Linux environments

Facets

learning-resource · maturity abandoned

machine-learning deep-learning computer-vision nlp reinforcement-learning deep-learning machine-learning computer-vision tutorials python tensorflow book-companion-code gan rnn image-recognition chinese python-2 natural-language-processing linux

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