Keras is a high level deep learning API that helps quickly build neural networks via a modular approach. It provides support for multiple backends such as TensorFlow, Theano or CNTK and allows for training on CPU or GPU. With the Keras library, users can iterate on machine learning ideas and move from experiments to production seamlessly. In this tutorial, we will introduce several key Keras API calls and features. Via examples, we show how to build, train and evaluate some deep learning classifiers in the context of Computer Vision and Natural language Processing. By the end of this talk, we believe that you will be able to apply the concepts learnt here in your own projects.

Time and location will be posted when available.

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