Artem Kovera

Deep Learning from Scratch Artem Kovera

This 200-page book can help you get a good understanding of the arcane theory of deep neural networks. In addition, it will show you how to get started with building neural networks in Python with Keras. This book covers: Introduction to machine learning and deep learning Math for deep learning explained to the layman How neural networks work: a general overview Activation functions in deep networks Loss functions Weight initialization and batch normalizationOverfitting and underfitting and methods to overcome them in deep neural networksHow to evaluate deep learning modelsIntroduction to transfer learning with deep neural networksHow to set up optimal hyper-parameters for deep modelsConvolutional neural networksRecurrent Neural NetworksAdversarial neural networksIntroduction to Deep reinforcement learningIntroduction to the Keras API for Deep LearningIntroduction to Keras CallbacksHow to build a simple deep neural network for image classification with KerasHow to build a neural network for regression with Keras How to build a convolutional network for image classification with Keras