Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks by Umberto MichelucciEnglish | PDF,EPUB | 2018 | 425 Pages | ISBN : 1484237897 | 29.99 MB
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.