3.1: Deep Neural Network Basics for Keras and TensorFlow (Module 3, Part 1)
Deep neural network basics, such as activation functions (ReLU), bias neurons, connections and summation. See how to calculate the output of a neural network. This video is part of a course that is taught in a hybrid format at Washington University in St. Louis; however, all the information is online and you can easily follow along. T81-558: Application of Deep Learning, at Washington University in St. Louis
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Complete course: https://sites.wustl.edu/jeffheaton/t81-558/
Complete playlist: https://www.youtube.com/playlist?list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN