机器学习

• 训练
• 标记
• Comparing Deep Learning Frameworks

-	tiny-cnn	caffe	Theano	TensorFlow
Prerequisites	Nothing(Optional:TBB,OpenMP)	BLAS,Boost,protobuf,glog,gflags,hdf5, (Optional:CUDA,OpenCV,lmdb,leveldb etc)	Numpy,Scipy,BLAS,(optional:nose,Sphinx,CUDA etc)	numpy,six,protobuf,(optional:CUDA,Bazel)
Modeling By	C++ code	Config File	Python Code	Python Code
GPU Support	No	Yes	Yes	Yes
Installing	Unnecessary	Necessary	Necessary	Necessary
Windows Support	Yes	No*	Yes	No*
Pre-Trained Model	Yes(via caffe-converter)	Yes	No*	No*

• * unofficial version is available

• DL4J vs. Torch vs. Theano vs. Caffe vs. TensorFlow

FROM alpine:3.6
LABEL com.nvidia.volumes.needed="nvidia_driver"
ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64

RUN /bin/sh

docker build -t alpine-nvidia
nvidia-docker run -ti --rm alpine-nvidia

学习资源

• Awesome

  • awesome-deep-vision
  • [awesome-machine-learning](* https://github.com/josephmisiti/awesome-machine-learning)
  • awesome-computer-vision

• Neural Networks and Deep Learning

• Deep Learning

• Data Mining:Practical Machine Learning Tools and Techniques

• Deep Learning Tutorials

• CS231n: Convolutional Neural Networks for Visual Recognition

• http://wiki.jikexueyuan.com/project/tensorflow-zh

• colah's blog

  • A wandering machine learning researcher, bouncing between groups. I want to understand things clearly, and explain them well.

• Christopher Bourez's blog

• Andrej Karpathy blog

  • http://karpathy.github.io/neuralnets/

• hOCR 中文版

• Intro to Parallel Programming

• What is the class of this image ? Discover the current state of the art in objects classification.

• http://theopenacademy.com/content/machine-learning

• InfoQ Machine Learning

• Tutorial on Deep Learning

  • HN

• Stanford Natural Language Parser

  • HN

• How To Get Into Natural Language Processing

  • HN

• Best Practices for ML Engineering from Google

  • HN

• Guide on how to design keyboard PCBs

  • HN

• MIT 6.S094: Deep Learning for Self-Driving Cars

  • HN

• 6.S094: Deep Learning for Self-Driving Cars

  • HN

• Stanford Unsupervised Deep Learning Tutorial (2014)

  • HN

• Deep Learning Gallery – A curated list of deep learning projects

• AI/ML Reads

• http://machinelearningmastery.com/

• The Missing Roadmap to Self-Study Machine Learning

  • http://www.jianshu.com/p/82f39ed4f089