Название: Computational Methods for Deep Learning: Theoretic, Practice and ApplicationsАвтор: Wei Qi Yan
Издательство: Springer
Год: 2021
Страниц: 141
Язык: английский
Формат: pdf (true), epub
Размер: 21.4 MB
Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from graphical theory, mathematical models, and algorithmic implementation, as well as covers datasets preparation, programming, results analysis and evaluations. Beginning with a grounding about artificial neural networks with neurons and the activation functions, the work then explains the mechanism of deep learning using advanced mathematics. In particular, it emphasizes how to use TensorFlow and the latest MATLAB deep-learning toolboxes for implementing deep learning algorithms.