AlphaTree-graphic-deep-neural-network
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python
What is AlphaTree-graphic-deep-neural-network?
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱
Overview of AlphaTree-graphic-deep-neural-network
What it is
AlphaTree-graphic-deep-neural-network (AlphaTree) is an open-source project that provides a visual roadmap of AI development, covering machine learning, deep learning, GANs, graph neural networks, NLP, and big data. It was originally created in 2019 to redraw classic deep-learning architectures in a consistent style, and in 2026 it was rebuilt into an interactive timeline site at alphatree.cn spanning approximately 3,000 years from the origins of mathematics to modern AI. The repository retains the original 2019 static diagrams and source code.
Key features
- Visualizes neural network architectures and AI development history as an interactive timeline - Covers a wide range of AI topics: ML, DL, GANs, GNNs, NLP, big data, recommendation algorithms, and knowledge graphs - Includes numerous source code examples in Python and PyTorch - Provides a roadmap with links to papers and arXiv references - Contains a comparison table of AI video generation products with pricing as of early 2025
Use cases
- Learning the evolution of deep learning network architectures from LeNet to ResNet and beyond - Studying AI development history and key milestones from 1943 to 2026 - Preparing for AI engineer interviews by reviewing structured knowledge - Exploring source code examples for practical understanding of core concepts
Getting started
# Option 1: Visit the online interactive site (recommended) # Open https://alphatree.cn # Option 2: Clone this repository for static diagrams git clone https://github.com/weslynn/AlphaTree-graphic-deep-neural-network.git cd AlphaTree-graphic-deep-neural-network # Follow instructions in the repo to view HTML/images
License and pricing
The content is licensed under CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike). The project is open source. If commercial use is needed, the authors should be contacted. The interactive site is free to access without registration.
Based on the project's public README and repository metadata.
