Deep Learning from Scratch: From Basics to Building Real Neural Networks with Keras. Illustrated Introduction for Beginners.

By Artem Kovera

This book will help you develop a step-by-step understanding of deep learning completely from scratch

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 networksDeep 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

• Format: Paperback
• Language: English
• ISBN: 1731175620
• ISBN13: 9781731175625
• Release Date: November 2018
• Publisher: Independently Published
• Length: 210 Pages
• Weight: 0.63 lbs.
• Dimensions: 0.4" x 6.0" x 9.0"