Deep Learning for Physical Scientists
Pyzer-Knapp, Edward O. / Benatan, Matthew
This book introduces the reader to the transformative techniques involved in deep learning. A range of methodologies are addressed including: * Basic classification and regression with perceptrons * Training algorithms, such as back propagation and stochastic gradient descent and the parallelization of training * Multi-Layer Perceptrons for learning from descriptors, and de-noising data * Recurrent neural networks for learning from sequences *...