Overview

Deep Learning Fundamentals for Beginners Theory behind explained for Beginners Are you looking for a small book to learn fundamentals of Deep Learning fast? Do you need to start learning Deep Learning and Neural Networks from Scratch? This book is for you. This book works as guide to present fundamental concepts, theory, examples related to Deep Learning. This book is written for beginners and novices who want to develop fundamental data science skills and learn how to build models that learn useful information from data. This book will prepare the learner for a career or further learning that involves more advanced topics. It contains an introduction and fundamental concepts used in data science and deep learning. The learner does not need to have any prior knowledge of machine learning or deep learning, but some basic understanding of mathematics is required. This book assumes that you know nothing about deep learning. Its goal is to give you the concepts, the intuitions, and the tools you need to actually learn how deep learning works and how and when to use it. What this book offers... You will learn all about statistics, Probability, Machine Learning. Fundamentals and Deep Learning. All the modules will contain examples and images to help beginner understand. Clear and Easy to Understand Solutions The book is extensively tested by a group of beta readers. The contents provided are simplified as much as possible so that they can serve as starting point for you to more advanced courses. What this book aims to do... This book is written with one goal in mind - to help beginners overcome their initial obstacles to learn Deep Learning from Scratch. A lot of times, newbies tend to feel intimidated by Data Science Models and Coding. The goal of this book is to isolate the different concepts so that beginners can gradually gain competency in the fundamentals and keys concepts before start working on a real project. Beginners in Data Science does not have to be scary or frustrating when you take one step at a time. Ready to start practicing and start learning Deep Learning Fundamentals from Scratch? Click the BUY button now to download this book Topics Covered: Fundamentals of Probability Fundamentals of Statistics Fundamentals of Linear Algebra Introduction to Machine Learning and Deep Learning Fundamentals of Machine Learning Fundamentals of Neural Networks and Deep Learning Deep Learning Parameters and Hyper-parameters Deep Neural Networks Layers Deep Learning Activation Functions Deep Learning Loss Functions Deep Learning Optimization Algorithms Convolutional Neural Network Recurrent Neural Networks LSTM Recursive Neural Networks Bonus Course Conclusion Click the BUY button and download the book now to start learning Deep Learning.

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9781733042666

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