Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing

Appendix A: Training DNN with Keras

This appendix will discuss using the Keras framework to train deep learning and explore some example applications on image segmentation using a fully convolutional network (FCN) and click-rate prediction with a wide and deep model (inspired by the TensorFlow implementation).

Despite their massive size, successful deep artificial neural networks can exhibit a remarkably small difference between training and test performance; see https://blog.acolyer.org/2017/05/11/understanding-deep-learning-requires-re-thinking-generalization/ . In a blog post ( https://beamandrew.github.io/deeplearning/2017/06/04/deep_learning_works.html ), Andrew Beam explains why it’s possible to apply very large neural networks even ...