updated 15/08/2018 by Rainer Warth
One of the most powerful and easy-to-use Python libraries for developing and evaluating deep learning models is Keras; It wraps the efficient numerical computation libraries Theano and TensorFlow. The advantage of this is mainly that you can get started with neural networks in an easy and fun way.
However, libraries are of great value only if one has gained a lot of experience in working with them. For this it needs examples, which illustrate well the libraries usefulness. Datacamp has published a tutorial about wine and the use of Keras to classify white and red wine. I found this entertaining as I like wine. Here the references.
