News

• AI master algorithm
• Neurala finds way for faster deep learning network training
• Designer / Builder Artificial Neural Networks for Performance Evaluation of Structures
• Andrew Ng Coursera Machine Learning
• Machine Learning community, with easy to grasp mathematical principles behind computer vision theory (by my former colleague Vincent Spruyt)
• Facebook maakt AI voor beeldherkenning open source
• 10 algorithms machine learning engineers need to know
• Kind of portal to Deep Learning, with links to articles, software, datasets, ...
• CodeProject selection on AI articles
• Interview with David Barber, machine learning researcher at University College London
• Interview with Peter Norvig, research director at Google
• Google DeepMind machine learning by Google
• Microsoft Azure Machine Learning Studio
• Open Mind: Microsoft's Visual Studio-like suite for machine learning
• Neural Network for Recognition of Handwritten Digits

Toolkits

• Tensor Flow machine learning toolkit by Google
• Theano numerical computation library developed by a machine learning group at the Université de Montréal.
• Baidu Deep Learning PaddlePaddle Open source see Github link here
• Microsoft CNTK Deep Learning and its own website here
• Amazon deep learning and github here
• NVIDIA Deep Learning tools
• Torch scientific computing framework with wide support for machine learning algorithms
• Berkeley Caffe Deep Learning toolkit: uses CUDA, but can also be compiled for CPU only
• Azure Machine Learning
• OpenCL version of Caffe
• mlpack machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms

Tutorials

• Implementing a Simple Neural Network in C#
• 41 Essential Machine Learning Interview Questions (with answers)
• Theano Machine Learning on a GPU on Windows 10
• Deep Learning on Windows: A Getting Started Guide
• CodeProject article intro to Machine Learning
• a simple neural net in 15 steps, with Octave/Matlab code
• Deep Learning on Windows: A Getting Started Guide
• Tutorial on Neural Networks part 1
• Tutorial on Neural Networks part 2 with C++ code