Machine Learning 资料
Posted 启铭星
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Awesome系列
- 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中文翻译(不完整): 神经网络与深度学习第五章中文翻译: [译] 第五章 深度神经网络为何很难训练
- [Book] Deep Learning - MIT Press
- [Course] Deep Learning - Udacity
- [Course] Machine Learning by Andrew Ng - Coursera | 课程资料整理 @ zhwhong
- [Course] Convolutional Neural Networks for Visual Recognition(CS231n) | 课程资料整理 @ zhwhong
- [Course] Deep Learning for Natural Language Processing(CS224d) | 课程资料整理 @ zhwhong
- [View] Top Deep Learning Projects on Github
- [View] Deep Learning for NLP resources
- [View] 资源 | 深度学习资料大全:从基础到各种网络模型
- [View] 深度学习新星:GAN的基本原理、应用和走向
- [Book] 推荐 | 九本不容错过的深度学习和神经网络书籍
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
- 官方文档
- TensorFlow Tutorial
- TensorFlow 官方文档中文版
- TensorFlow Whitepaper
- [译] TensorFlow白皮书
- [API] API Document
入门教程
- [教程] Learning TensorFlow
- TensorFlow-Tutorials @ github (推荐)
- Awesome-TensorFlow (推荐)
- TensorFlow-Examples @ github
- tensorflow_tutorials @ github
分布式教程
- Distributed TensorFlow官方文档
- distributed-tensorflow-example @ github (推荐)
- 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
注:图片来自 Github : TensorFlow-Slim image classification library)
额外参考:
[ILSVRC] 基于OverFeat的图像分类、定位、检测
[卷积神经网络-进化史] 从LeNet到AlexNet
[透析] 卷积神经网络CNN究竟是怎样一步一步工作的?
GoogLenet中,1X1卷积核到底有什么作用呢?
深度学习 — 反向传播(BP)理论推导
Object Detection
额外参考:
[Detection] CNN 之 "物体检测" 篇
计算机视觉中 RNN 应用于目标检测
Machine Learning 硬件投入调研
RNN & LSTM
- [福利] 深入理解 RNNs & LSTM 网络学习资料 @ zhwhong
- [RNN] Simple LSTM代码实现 & BPTT理论推导 @ zhwhong
- 计算机视觉中 RNN 应用于目标检测 @ zhwhong
- Understanding LSTM Networks @ colah | 中文翻译[简书] @ Not_GOD
- The Unreasonable Effectiveness of Recurrent Neural Networks @ Andrej Karpathy
- LSTM Networks for Sentiment Analysis (theano官网LSTM教程+代码)
- Recurrent Neural Networks Tutorial @ WILDML
- Anyone Can Learn To Code an LSTM-RNN in Python (Part 1: RNN) @ iamtrask
Stanford 机器学习课程整理
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