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 was originally a deep learning research project of the Google Brain Team that has since become–by way of collaboration with 50 teams at Google–an open source library deployed across ...

“TensorFlow is a machine learning library that’s used across Google for applying deep learning to a lot of different areas,” says Rajat Mongo, a technical lead on the TensorFlow project, in a YouTube ...

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 ...

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 ...

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 ...

In this article, we will look at 15 Deep Learning Courses for High Salary Jobs. We will also discuss the innovations and intelligence of deep learning along with companies that are making huge ...

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically ...