eBook Details: Paperback: 410 pages Publisher: WOW! eBook; 1st edition (September 8, 2018) Language: English ISBN-10: 1484237897 ISBN-13: 978-1484237892 eBook Description: Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and Swish), seeing how to perform linear and logistic regression using TensorFlow, and choosing the right cost function. Applied Deep Learning also discusses how to implement...