Since I reviewed TensorFlow r0.10 in October 2016, Google’s open source framework for deep learning has become more mature, implemented more algorithms and deployment options, and become easier ...

Keras ships with support for three back-end deep learning frameworks: TensorFlow, CNTK, and Theano. Amazon is currently working on developing a MXNet back-end for Keras.

TensorFlow has become the most popular tool and framework for machine learning in a short span of time. It enjoys tremendous popularity among ML engineers and developers. According to the Hacker ...

Reinforcement Learning and Deep Learning. TensorFlow’s capabilities in reinforcement learning are worth noting, particularly its ability to facilitate complex, state-of-the-art algorithms in ...

Today IBM announced that its PowerAI distribution for popular open source Machine Learning and Deep Learning frameworks on the POWER8 architecture now supports the TensorFlow 0.12 framework that was ...

By optimizing TensorFlow with the Intel MKL-DNN primitives means that deep learning applications built using this widely available framework can now run much faster on the latest Intel processors. The ...

Google announced yesterday that its Deep Learning algorithm, TensorFlow, has been open-sourced. According to Google, this is the second generation machine learning algorithm, with the first one ...

In addition to TensorFlow support, IBM also today noted that it now supports Chainer, a framework for building neural networks. Topics AI , deep learning , developers , Enterprise , Google , IBM ...

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

Kaldi, an open-source speech recognition toolkit, has been updated with integration with the open-source TensorFlow deep learning library.. Developers Yishay Carmiel and Hainan Xu of Seattle-based ...