We will mainly be working with the two most popular deep learning frameworks that exist, and are freely available to the public at large. This does not mean that we will completely limit our implementations and exercises to these two platforms. It may well occur that we experiment with other prominent deep learning frameworks and backends. We will, however, try to use either TensorFlow or Keras, due to their widespread popularity, large support community, and flexibility in interfacing with other prominent backend and frontend frameworks (such as Theano, Caffe, or Node.js, respectively). We will now provide a little background information on Keras and TensorFlow:
