zhangruiskyline / Deeplearning
Deep Learning introduction and its application in various fields
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Table of Contents generated with DocToc
- Basic algorithm/Framework
- Applications
- Machine learning implementation in large scale system
- Reference Materails
Basic algorithm/Framework
Basics Machine learning
CNN
RNN
TensorFlow
Pytorch
GBDT
SVM
Applications
NLP
Search/Rank/CTR
Text Classification
-
Convolutional Neural Networks for Sentence Classification. Paper and blog post
-
Bidirectional LSTM and one level attentional RNN. blog
Recommendations
Industrial machine Learning Application design
Industrial machine Learning Application design
Machine learning implementation in large scale system
Machine learning implementation in large scale system
Deep Learning/AI Chip Design
Reference Materails
Kaggle
Book
-
Deep Learning: An MIT Press Book
- By Ian Goodfellow and Yoshua Bengio and Aaron Courville
Tutorial
Courses
-
Stanford: CS231n: Convolutional Neural Networks for Visual Recognition
-
Stanford: CS224n: Natural Language Processing with Deep Learning
Workshop
Blog
Blog Posts
-
A Brief History of CNNs in Image Segmentation: From R-CNN to Mask R-CNN
-
Understanding LSTM Networks and LSTM by Example using Tensorflow
Code and Framework
Open Source
- Prophet: forecasting at scale by Facebook
Facebook is open sourcing Prophet, a forecasting tool available
some interesting project based on it
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