hzy46/Deep-Learning-21-Examples
21 TensorFlow projects from the Python 2 era
Companion code for a Chinese hands-on deep learning book covering CNNs, GANs, RNNs, and reinforcement learning chapter by chapter.
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What it does
This repository holds the runnable companion code for the Chinese book 21 Projects to Play with Deep Learning — Detailed Practice Based on TensorFlow. It walks through 21 chapter-sized projects spanning CNNs (including GAN variants like DCGAN, pix2pix, and CycleGAN), RNNs and LSTMs, and reinforcement learning from Q-Learning to Policy Gradient. Each chapter maps to a self-contained folder with source code, while separate Baidu Pan downloads host the larger datasets.
The interesting bit
The value is in the breadth and structure rather than novelty: it treats deep learning as a craft best learned by building Deep Dream, style transfer, neural machine translation, and image captioning in sequence. For readers of the book, it provides a curated, end-to-end tour of what constituted state-of-the-art hobbyist deep learning circa 2016–2018.
Key highlights
- 21 projects covering three arcs: computer vision (chapters 1–11), sequence modeling (12–17), and reinforcement learning (18–21)
- Includes era-specific favorites: Deep Dream, super-resolution, Char RNN, word2vec, DQN, and SARSA
- ~4,700 GitHub stars, suggesting a sizable Chinese-language readership
- Supplementary data files hosted on Baidu Pan with extraction code
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Caveats
- Locked to a legacy stack: the README recommends Python 2.7, TensorFlow ≥1.4.0, and Ubuntu 14.04
- Entirely Chinese-language; no English translation of documentation or comments
- Data is hosted on Baidu Pan, which may be inaccessible or inconvenient outside mainland China
Verdict
A useful reference if you read Chinese and want a historical, project-driven survey of TensorFlow 1.x techniques. Everyone else should probably reach for modern PyTorch or TensorFlow 2 tutorials instead.
Frequently asked
- What is hzy46/Deep-Learning-21-Examples?
- Companion code for a Chinese hands-on deep learning book covering CNNs, GANs, RNNs, and reinforcement learning chapter by chapter.
- Is Deep-Learning-21-Examples open source?
- Yes — hzy46/Deep-Learning-21-Examples is an open-source project tracked on heatdrop.
- What language is Deep-Learning-21-Examples written in?
- hzy46/Deep-Learning-21-Examples is primarily written in Python.
- How popular is Deep-Learning-21-Examples?
- hzy46/Deep-Learning-21-Examples has 4.7k stars on GitHub.
- Where can I find Deep-Learning-21-Examples?
- hzy46/Deep-Learning-21-Examples is on GitHub at https://github.com/hzy46/Deep-Learning-21-Examples.