InfoWorld Keras proper, a high-level front end for building neural network models, ships with support for three back-end deep learning frameworks: TensorFlow, CNTK, and Theano.

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.

A key part of the TensorFlow ecosystem is the Keras API suite, which provides a set of Python language-based deep learning capabilities on top of the core TensorFlow technology.

os.environ['TF_CPP_MIN_LOG_LEVEL']='2' Because Keras and TensorFlow are being developed so quickly, you should include a comment that indicates what versions were being used. Notice you must import ...

Google’s TensorFlow Lite brings machine learning to Android devices John Mannes 11:54 AM PDT · May 17, 2017 ...

Xiaoyi Lu from Ohio State University gave this talk at the 2019 OpenFabrics Workshop in Austin. "Google's TensorFlow is one of the most popular Deep Learning (DL) frameworks. We propose a unified way ...

Google today announced the launch of version 0.8 of TensorFlow, its open source library for doing the hard computation work that makes machine learning possible.