Awesome series
- Awesome Machine Learning
- Awesome Deep Learning
- Awesome TensorFlow
- Awesome TensorFlow implementations
- Awesome Torch
- Awesome Computer Vision
- Awesome Deep Vision
- Awesome RNN
- Awesome NLP
- Awesome AI
- Awesome Deep Learning Papers
- Awesome 2vec
Deep learning
- [Book] Neural Networks and deep learning Chinese Translation (incomplete): Neural network and in-depth learning fifth Chinese translation: [Translate] Chapter Fifth why deep neural networks are difficult to train
- [Book] Deep Learning-mit Press
- [Course] Deep learning-udacity
- [Course] Machine learning by Andrew Ng-coursera | Course Materials Sorting @ Zhwhong
- [Course] convolutional neural Networks for Visual recognition (cs231n) | Course Materials Sorting @ Zhwhong
- [Course] Deep Learning for Natural Language processing (cs224d) | Course Materials Sorting @ Zhwhong
- [View] Top deep learning Projects on Github
- [View] Deep Learning for NLP resources
- [View] Resources | Deep Learning Data Encyclopedia: From Foundation to various network models
- [View] Deep learning Nova: Fundamentals, Applications and trends of Gan
- [Book] recommended | Nine deep learning and neural network books not to be missed
Frameworks
- TensorFlow (by Google)
- MXNet
- Torch (by Facebook)
- [Caffe (by UC Berkley) (Caffe | Deep learning Framework)
- [Deeplearning4j (Open-source, distributed deep learning for the JVM)
- Brainstorm
- Theano, Chainer, Marvin, Neon, Convnetjs
TensorFlow
- Official documents
- TensorFlow Tutorial
- TensorFlow Official Document Chinese version
- TensorFlow Whitepaper
- [Translate] tensorflow white paper
- [API] API Document
Getting Started tutorials
- Tutorial Learning TensorFlow
- Tensorflow-tutorials @ GitHub (recommended)
- Awesome-tensorflow (recommended)
- Tensorflow-examples @ GitHub
- Tensorflow_tutorials @ GitHub
Distributed tutorials
- Distributed TensorFlow Official documentation
- Distributed-tensorflow-example @ GitHub (recommended)
- Distributedtensorflowsample @ GitHub
- Parameter Server
Paper (Model) CNN Nets
- LeNet
- AlexNet
- Overfeat
- NIN
- Googlenet
- Inception-v1
- Inception-v2
- Inception-v3
- Inception-v4
- Inception-resnet-v2
- ResNet 50
- ResNet 101
- ResNet 152
- Vgg 16
- Vgg 19
Note: Image from Github:tensorflow-slim image classification Library)
Additional references:
[ILSVRC] Image classification, positioning, detection based on overfeat
[convolutional neural networks-evolutionary history] from lenet to Alexnet
[Dialysis] convolutional neural network How is CNN going to work step-by-step?
In Googlenet, what is the role of 1x1 convolution nucleus in the end?
Deep Learning-Inverse propagation (BP) theory derivation
Object Detection
- R-cnn
- Fast R-CNN
- Faster R-CNN
- FCN
- R-fcn
- YOLO
- Ssds
Additional references:
[Detection] CNN's "Object Detection" chapter
Application of RNN to target detection in computer vision
Machine Learning Hardware Investment Research
RNN & LSTM
- [Welfare] in-depth understanding Rnns & LSTM Web Learning materials @ Zhwhong
- [RNN] Simple lstm Code Implementation & BPTT theory derivation @ zhwhong
- Application of RNN to target detection in computer vision @ Zhwhong
- Understanding LSTM Networks @ Colah | Chinese translation [simple book] @ not_god
- The unreasonable effectiveness of recurrent neural Networks @ Andrej karpathy
- LSTM Networks for sentiment analysis (Theano official website LSTM Tutorial + code)
- Recurrent neural Networks Tutorial @ wildml
- Anyone Can learn to Code a lstm-rnn in Python (part 1:RNN) @ iamtrask
Stanford Machine Learning Course Finishing
- [Coursera machine Learning course] Machine learning by Andrew Ng @ zhwhong
- [Stanford cs231n Course finishing] convolutional neural Networks for Visual recognition (with translation, download) @ Zhwhong
- [Stanford cs224d Course finishing] Natural Language processing with deep learning @ Zhwhong
- [Stanford CS229 Course finishing] Machine learning Autumn @ Zhwhong
Machine learning Information
