Description: Further DetailsTitle: Deep Learning for BeginnersCondition: NewSubtitle: A beginner's guide to getting up and running with deep learning from scratch using PythonEAN: 9781838640859ISBN: 9781838640859Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 09/18/2020Description: Implement supervised, unsupervised, and generative deep learning (DL) models using Keras and Dopamine with TensorFlowKey FeaturesUnderstand the fundamental machine learning concepts useful in deep learningLearn the underlying mathematical concepts as you implement deep learning models from scratchExplore easy-to-understand examples and use cases that will help you build a solid foundation in DLBook Description With information on the web exponentially increasing, it has become more difficult than ever to navigate through everything to find reliable content that will help you get started with deep learning. This book is designed to help you if you're a beginner looking to work on deep learning and build deep learning models from scratch, and you already have the basic mathematical and programming knowledge required to get started. The book begins with a basic overview of machine learning, guiding you through setting up popular Python frameworks. You will also understand how to prepare data by cleaning and preprocessing it for deep learning, and gradually go on to explore neural networks. A dedicated section will give you insights into the working of neural networks by helping you get hands-on with training single and multiple layers of neurons. Later, you will cover popular neural network architectures such as CNNs, RNNs, AEs, VAEs, and GANs with the help of simple examples, and learn how to build models from scratch. At the end of each chapter, you will find a question and answer section to help you test what you've learned through the course of the book. By the end of this book, you'll be well-versed with deep learning concepts and have the knowledge you need to use specific algorithms with various tools for different tasks.What you will learnImplement recurrent neural networks (RNNs) and long short-term memory (LSTM) for image classification and natural language processing tasksExplore the role of convolutional neural networks (CNNs) in computer vision and signal processingDiscover the ethical implications of deep learning modelingUnderstand the mathematical terminology associated with deep learningCode a generative adversarial network (GAN) and a variational autoencoder (VAE) to generate images from a learned latent spaceImplement visualization techniques to compare AEs and VAEsWho this book is for This book is for aspiring data scientists and deep learning engineers who want to get started with the fundamentals of deep learning and neural networks. Although no prior knowledge of deep learning or machine learning is required, familiarity with linear algebra and Python programming is necessary to get started.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Dr. Pablo RivasGenre: Computing & InternetISBN-10: 1838640851Contributor: Laura Montoya (Foreword by)Release Year: 2020 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Deep Learning for Beginners
Title: Deep Learning for Beginners
Subtitle: A beginner's guide to getting up and running with deep learning f
EAN: 9781838640859
ISBN: 9781838640859
Release Date: 09/18/2020
Release Year: 2020
Country/Region of Manufacture: GB
Item Height: 93mm
Genre: Computing & Internet
ISBN-10: 1838640851
Contributor: Laura Montoya (Foreword by)
Number of Pages: 432 Pages
Publication Name: Deep Learning for Beginners : A Beginner's Guide to Getting up and Running with Deep Learning from Scratch Using Python
Language: English
Publisher: Packt Publishing, The Limited
Publication Year: 2020
Subject: Data Modeling & Design, Intelligence (Ai) & Semantics, Neural Networks
Type: Textbook
Author: Pablo Rivas
Subject Area: Computers
Item Length: 3.6 in
Item Width: 3 in
Format: Trade Paperback
