This page collects some of the recent interesting articles regarding the release of tensorflow.

• Google Cloud TPU - //May 2017// Google makes powerful cloud TPU available to researchers (1000 TPUs) (Background) and here is some hardware and performance info from Norman P. Jouppi (Background2) (PDF)

• TF-Slim - a simplified and lightweight package to train TF models (Google Blog)

• Tensorflow TPU - a custom ASIC or application-specific integrated circuit, that is specifically designed for running TensorFlow very efficiently (CPU <> GPU <> FPGA <> ASIC) check performance per Watt (Video)

• Parsey McParseface and SyntaxNet - a syntactic parser that can identify the constructs of English sentences (blog)

• TensorFlow PlayGround - tinker with a Neural Network (it will eat your CPU) a really cool, visual and mind-bending software implementation

• Wired - Tensorflow will change the world
• Wired - Tensorflow will actually not change the world
• Stephen Hawking - AI will kill us
• Eric Horvitz - AI will actually not kill us
• Isaac Asimov - Three robotic laws will protect us
• Daniel Wilson - Three robotic laws will actually not protect us

• Ben Thompson on TF - Why did Alphabet give TensorFlow away?
• Apple AI - Why is Apple not contributing to Open AI software?
• Apple Big Sur - Why is Apple contributing AI hardware designs and supports Torch AI?
• indico tf - The indico Machine Learning Team’s Take on TensorFlow
• kivantium@hatena - no idea, but looks convincing
• Pigeon AI - Pigeons are smarter than most AI

• Ben Graham - deep net convolution networks
• DL tutorials - deep learning tutorials
• MRI classification - Automatic Classification of Alzheimer’s Disease from Structural MRI
• Large Neural Nets - Techniques and Systems for Training Large Neural Networks Quickly by Jeff Dean (Google Research)
• DL NNets explained - Autoencoder, Restricted Boltzmann machine and Convolutional Neural Networks compared
• AlphaGo - Monte-Carlo tree search with deep neural networks from DeepMind/Google
• TrueNorth - a fast and energy efficient real time CMOS chip for deep learning from IBM
• Nervana - Intels neural network specialty processor, an answer to NVIDIAs Volta GPU.

• Torch - scientific computing framework with machine learning support with additional modules from Facebook AI Research
• Veles - Distributed Deep Learning Platform by Samsung
• DMTK - Distributed Machine Learning Toolkit by Microsoft
• CNTK - Computational Network Toolkit by Microsoft
• SystemML - SystemML using the Declarative Machine Learning (DML) by IBM
• PaddlePaddle - PaddlePaddle the PArallel Distributed Deep LEarning by Baidu
• Caffe2 - Facebook supported Lightweight, Modular, and Scalable Deep Learning Framework using GPUs