Neural Networks and Deep Learning: Neural Networks and Deep Learning, Deep Learning explained to your granny

by Pat Nakamoto

– A VISUAL INTRODUCTION FOR BEGINNERS who want to make their own Deep Learning Neural Network Ready to crank up a deep neural network to get your self-driving car pick up the kids from school? Want to add 'Neural Networks’ and ‘Deep Learning’ to your LinkedIn profile? Well, hold on there... Before you embark on your epic journey into the world of deep learning, there is basic theory to march through first! Take a step-by-step journey through the basics of Deep Learning, made so simple that…even your granny could understand it! What you will gain from this * A deep understanding of how Deep Learning works * A basics comprehension on how to build a Deep Neural Network from scratch Who this book is * Beginners who want to approach the topic, but are too afraid of complex math to start! What’s Inside? * A brief introduction to Machine Learning * Two main Types of Machine Learning Algorithms * A practical example of Unsupervised Learning * What are Neural Networks? * McCulloch-Pitts's Neuron * Types of activation function * Types of network architectures * Learning processes * Advantages and disadvantages * Let us give a memory to our Neural Network * The example of book writing Software * Deep the ability of learning to learn * How does Deep Learning work? * Main architectures and algorithms * Main types of DNN * Available Frameworks and libraries * Convolutional Neural Networks * Tunnel Vision * Convolution * The right Architecture for a Neural Network * Test your Neural Network * A general overview of Deep Learning * What are the limits of Deep Learning? * Deep the basics * Layers, Learning paradigms, Training, Validation * Main architectures and algorithms * Models for Deep Learning * Probabilistic graphic models * Restricted Boltzmann Machines * Deep Belief Networks * Available Frameworks and libraries * TensorFlow Hit download. Now!

146 pages, Kindle Edition

Published January 16, 2018

Reviews

[Andrea Mordenti · Rating 2 out of 5]

Apart from the ambitious title (of course it is difficult to explain Deep Learning and Neural Networks, yet not impossible), I think the book is not well structured in my humble opinion and it is containing lots of repetition for the same concepts (few times, also the same identical sentence...).

I read better books about the topic, anyway it is worth reading if you have some spare time.