sikang99/ai-study

History

• 2020/01/24 W3C Workshop on Web & Machine Learning
  • Tensorflow, ONNX, NNEF, WebNN, WebRTC, WASM, WebGPU
• 2020/00/00
• 2019/04/09 MLIR: A new intermediate representation and compiler framework
• 2019/02/12 A Comprehensive Introduction to Different Types of Convolutions in Deep Learning
• 2018/06/01 CS231N Section Video Understanding
• 2018/04/24 An intuitive guide to Convolutional Neural Networks
• 2018/05/08 Real-time Human Pose Estimation in the Browser with TensorFlow.js
• 2018/03/27 11 Javascript Machine Learning Libraries for 2019
• 2017/09/01 CPSC 340: Machine Learning and Data Mining - Convolutional Neural Networks
• A Primer on Artificial Intelligence for Military Leaders - AI Concept Map

Information

• Towards Data Science: Machine Learning
• ONNX (Open Neural Network Exchange Format)
• NNEF(Neural Network Exchange Format) - Khronos
• MLIR (Multi-Level Intermediate Representation) - Tensorflow, LLVM
• tvm.ai - End to End Deep Learning Compiler Stack for CPUs, GPUs and specialized accelerators

Stackoverflow

• Intuitive understanding of 1D, 2D, and 3D Convolutions in Convolutional Neural Networks

Open Source

• apache/incubator-tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators https://tvm.ai
• ml5js/ml5-examples - A collection of ml5.js examples https://ml5js.org/getting-started/
• microsoft/onnxjs - ONNX models using JavaScript
• Kayzaks/HackingNeuralNetworks - A small course on exploiting and defending neural networks
• DataForScience/DeepLearning - Deep Learning From Scratch https://www.data4sci.com
• eungbean/Docker-for-AI-Researcher