The keras R library covers most our needs for this script; the base R libraries will provide the rest of the functionality. In python we'll load up glob for working with paths, numpy for some data ...

Keras is one of the leading high-level neural networks APIs. It is written in Python and supports multiple back-end neural network computation engines.

Remember, Keras is a deep learning API written in Python programming language and runs on top of TensorFlow. So don’t get confused in Keras and Tensorflow, both have their documentation of loss ...

Keras Functional model construction only supports TF API calls that *do* support dispatching, such as `tf.math.add` or `tf.reshape`. Other APIs cannot be called directly on symbolic ...

Our data science doctor provides a hands-on neural networking tutorial to explain how to get started with the popular Keras library, a high-level wrapper over TensorFlow.