Linking pages
- Deep learning startup Skymind raises $3 million, launches Intelligence Layer distribution | VentureBeat http://venturebeat.com/2016/09/28/deep-learning-startup-skymind-raises-3-million-launches-intelligence-layer-distribution/ 36 comments
- Amazon open-sources its own deep learning software, DSSTNE | VentureBeat http://venturebeat.com/2016/05/11/amazon-open-sources-its-own-deep-learning-software-dsstne/ 1 comment
- Facebook is testing video style transfer on Android and iOS using Caffe2go deep learning framework | VentureBeat http://venturebeat.com/2016/11/08/facebook-is-testing-video-style-transfer-on-android-and-ios-using-caffe2go-deep-learning-framework/ 0 comments
- Facebook open-sources Caffe2, a new deep learning framework | VentureBeat https://venturebeat.com/2017/04/18/facebook-open-sources-caffe2-a-new-deep-learning-framework/ 0 comments
- Three reasons deep learning rocked 2015 | by David J Klein | Machine Intelligence Report | Medium https://medium.com/@kleinsound/three-reasons-deep-learning-rocked-2015-e7e63d8b8ee0#.vs34lgkgu 0 comments
- Google releases TensorFlow 1.0 with new machine learning tools | VentureBeat http://venturebeat.com/2017/02/15/google-releases-tensorflow-1-0-with-new-machine-learning-tools/ 0 comments
- 5 deep learning startups to follow in 2016 | VentureBeat http://venturebeat.com/2015/12/25/5-deep-learning-startups-to-follow-in-2016/ 0 comments
- Facebook open-sources Torchnet to accelerate A.I. research | VentureBeat http://venturebeat.com/2016/06/23/torchnet/ 0 comments
- Baidu open-sources its WARP-CTC artificial intelligence software | VentureBeat http://venturebeat.com/2016/01/14/baidu-open-sources-its-warp-ctc-artificial-intelligence-software/ 0 comments
Linked pages
- GitHub - amazon-archives/amazon-dsstne: Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models https://github.com/amznlabs/amazon-dsstne 58 comments
- MXNet - Deep Learning Framework of Choice at AWS | All Things Distributed http://www.allthingsdistributed.com/2016/11/mxnet-default-framework-deep-learning-aws.html 56 comments
- Why a deep-learning genius left Google & joined Chinese tech shop Baidu (interview) | VentureBeat http://venturebeat.com/2014/07/30/andrew-ng-baidu/ 48 comments
- GitHub - keras-team/keras: Deep Learning for humans https://github.com/fchollet/keras/ 32 comments
- GitHub - PaddlePaddle/Paddle: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署） https://github.com/baidu/paddle 19 comments
- GitHub - IDSIA/brainstorm: Fast, flexible and fun neural networks. https://github.com/IDSIA/brainstorm 18 comments
- Apache SINGA · Distributed deep learning system http://singa.incubator.apache.org/ 18 comments
- Welcome to nginx! https://velesnet.ml 14 comments
- GitHub - karpathy/convnetjs: Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser. https://github.com/karpathy/convnetjs 8 comments
- What is Cloud Computing? - Soft Cloud Tech http://dmlc.ml/mxnet/2015/11/10/deep-learning-in-a-single-file-for-smart-device.html 7 comments
- GitHub - tensorflow/tensorflow: An Open Source Machine Learning Framework for Everyone https://github.com/tensorflow/tensorflow 5 comments
- Caffe | Deep Learning Framework http://caffe.berkeleyvision.org/ 3 comments
- GitHub - BVLC/caffe: Caffe: a fast open framework for deep learning. https://github.com/BVLC/caffe 2 comments
- Facebook https://www.facebook.com/Engineering/posts/10152495827632200 2 comments
- GitHub - NervanaSystems/neon: Intel® Nervana™ reference deep learning framework committed to best performance on all hardware https://github.com/NervanaSystems/neon 1 comment
- GitHub - microsoft/CNTK: Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit https://github.com/Microsoft/CNTK 1 comment
- ConvNetJS: Deep Learning in your browser http://cs.stanford.edu/people/karpathy/convnetjs/ 1 comment
- Google researcher: Quantum computers aren't perfect for deep learning | VentureBeat http://venturebeat.com/2015/11/11/google-researcher-quantum-computers-arent-perfect-for-deep-learning/ 0 comments
- GitHub - deeplearning4j/deeplearning4j: Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation. https://github.com/deeplearning4j/deeplearning4j 0 comments
- GitHub - Theano/Theano: Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara https://github.com/Theano/Theano 0 comments
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