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.

It also has a Scikit-learn API, so that you can use the Scikit-learn grid search to perform hyperparameter optimization in Keras models. Read my review of Keras.

This PyTorch vs TensorFlow guide will provide more insight into both but each offers a powerful platform for designing and deploying machine learning models.

Keras or TensorFlow? This breakdown shows their differences, use cases, and when to choose each. #KerasVsTensorFlow #MachineLearningTools #AI Pakistan says it is responding to 'act of war' after ...

It's possible to create neural networks from raw code. But there are many code libraries you can use to speed up the process. These libraries include Microsoft CNTK, Google TensorFlow, Theano, PyTorch ...

Many developers who use Python for machine learning are now switching to PyTorch. Find out why and what the future could hold for TensorFlow.

Microsoft announced on-device training of machine language models with the open source ONNX Runtime (ORT). The ORT is a cross-platform machine-learning model accelerator, providing an interface to ...