Sign-In
Cart
Neural Network Programming with TensorFlow
Paperback
ISBN13: 9781788390392
Publisher: Packt Publishing
Published: Nov 10 2017
Pages: 274
Weight: 1.05
Height: 0.58 Width: 7.50 Depth: 9.25
Language: English
Neural Networks and their implementation decoded with TensorFlow
Key Features:
- Develop a strong background in neural network programming from scratch, using the popular Tensorflow library.
- Use Tensorflow to implement different kinds of neural networks - from simple feedforward neural networks to multilayered perceptrons, CNNs, RNNs and more.
- A highly practical guide including real-world datasets and use-cases to simplify your understanding of neural networks and their implementation.
Book Description:
If you're aware of the buzz surrounding the terms such as machine learning, artificial intelligence, or deep learning, you might know what neural networks are. Ever wondered how they help in solving complex computational problem efficiently, or how to train efficient neural networks? This book will teach you just that.
You will start by getting a quick overview of the popular TensorFlow library and how it is used to train different neural networks. You will get a thorough understanding of the fundamentals and basic math for neural networks and why TensorFlow is a popular choice Then, you will proceed to implement a simple feed forward neural network. Next you will master optimization techniques and algorithms for neural networks using TensorFlow. Further, you will learn to implement some more complex types of neural networks such as convolutional neural networks, recurrent neural networks, and Deep Belief Networks. In the course of the book, you will be working on real-world datasets to get a hands-on understanding of neural network programming. You will also get to train generative models and will learn the applications of autoencoders.
By the end of this book, you will have a fair understanding of how you can leverage the power of TensorFlow to train neural networks of varying complexities, without any hassle. While you are learning about various neural network implementations you will learn the underlying mathematics and linear algebra and how they map to the appropriate TensorFlow constructs.
What You Will Learn:
- Learn Linear Algebra and mathematics behind neural network.
- Dive deep into Neural networks from the basic to advanced concepts like CNN, RNN Deep Belief Networks, Deep Feedforward Networks.
- Explore Optimization techniques for solving problems like Local minima, Global minima, Saddle points
- Learn through real world examples like Sentiment Analysis.
- Train different types of generative models and explore autoencoders.
- Explore TensorFlow as an example of deep learning implementation.
Who this book is for:
This book is meant for developers with a statistical background who want to work with neural networks. Though we will be using TensorFlow as the underlying library for neural networks, book can be used as a generic resource to bridge the gap between the math and the implementation of deep learning. If you have some understanding of Tensorflow and Python and want to learn what happens at a level lower than the plain API syntax, this book is for you.
Also from
Ghotra, Manpreet Singh
Machine Learning with Spark - Second Edition: Develop intelligent, distributed machine learning systems
Pentreath, Nick
Dua, Rajdeep
Ghotra, Manpreet Singh
Paperback
Also in
General Computers
All Data Are Local: Thinking Critically in a Data-Driven Society
Loukissas, Yanni Alexander
Paperback
Comptia Network+ Certmike: Prepare. Practice. Pass the Test! Get Certified!: Exam N10-008
Chapple, Mike
Zacker, Craig
Paperback
Interactive Theorem Proving and Program Development: Coq'art: The Calculus of Inductive Constructions
Castéran, Pierre
Bertot, Yves
Hardcover
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Wickham, Hadley
Grolemund, Garrett
Paperback
The Reverse Centaur's Guide to Life After AI: How to Think about Artificial Intelligence--Before It's Too Late
Doctorow, Cory
Paperback
The Agi Chronicles: The Inside Story of the Race to Create an Artificial Superintelligence
Roose, Kevin
Hardcover
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Kleppmann, Martin
Riccomini, Chris
Paperback
The Year in Tech, 2027: The Insights You Need from Harvard Business Review
Chamorro-Premuzic, Tomas
Review, Harvard Business
Davenport, Thomas H.
Paperback
AI for Good: How Real People Are Using Artificial Intelligence to Fix Things That Matter
Tyrangiel, Josh
Hardcover
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Yudkowsky, Eliezer
Soares, Nate
Hardcover
Human Raised: Nurturing Connection, Curiosity & Lifelong Learning in the Age of AI
Suskind, Dana, MD
Hardcover
The Eureka Machine: Why AI Is the Key to Unlocking a New Era of Scientific Discoveries
Socher, Richard
Hardcover
Hbr's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and AVI Goldfarb)
Iansiti, Marco
Review, Harvard Business
Davenport, Thomas H.
Paperback
The Year in Tech, 2026: The Insights You Need from Harvard Business Review
Webb, Amy
Review, Harvard Business
Anthony, Scott D.
Paperback
CompTIA Network+ Certification All-in-One Exam Guide, Ninth Edition (Exam N10-009)
Weissman, Jonathan S.
Paperback
The AI Con: How to Fight Big Tech's Hype and Create the Future We Want
Bender, Emily M.
Hanna, Alex
Hardcover
Fans First: Change The Game, Break the Rules & Create an Unforgettable Experience
Cole, Jesse
Paperback
Generative Ai: The Insights You Need from Harvard Business Review
Review, Harvard Business
Mollick, Ethan
Cremer, David De
Paperback
A Giant Leap: How AI Is Transforming Healthcare and What That Means for Our Future
Wachter, Robert
Hardcover
AI Literacy in Any Class: Preparing Students to Thrive in an AI Future in Any Grade Level or Content Area
Miller, Matt
Paperback
Obsolete: The AI Industry's Trillion Dollar Race to Replace Us--And How to Stop It
Lovely, Garrison
Paperback
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Reis, Joe
Housley, Matt
Paperback
Minecraft: Guide Collection 4-Book Boxed Set (Updated): Survival (Updated), Creative (Updated), Redstone (Updated), Combat
Mojang Ab
The Official Minecraft Team
Hardcover
Love Machines: How Artificial Intelligence Is Transforming Our Relationships
Muldoon, James
Hardcover
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
Crawford, Kate
Paperback
AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
Kapoor, Sayash
Narayanan, Arvind
Paperback
AI with Intention: Principles and Action Steps for Teachers and School Leaders
Frontier, Tony
Paperback
Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming
Matthes, Eric
Paperback
AP Computer Science Principles Premium, 2027: 6 Practice Tests + Comprehensive Review + Online Practice
Reichelson, Seth
Paperback
An Illustrated Guide to AI Agents: Concepts and Code for Building Agents with Llms, Tools, and Memory
Grootendorst, Maarten
Alammar, Jay
Paperback
Hbr's 10 Must Reads on Artificial Intelligence, Updated and Expanded (Featuring How AI Can Help Managers Think Through Problems by Elisa Farri and Gab
Agrawal, Ajay
Review, Harvard Business
Davenport, Thomas H.
Paperback
The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip
Witt, Stephen
Hardcover
CompTIA Tech+ Certification All-in-One Exam Guide, Third Edition (Exam FC0-U71)
Wempen, Faithe
Paperback
Hands-On Machine Learning with Scikit-Learn and Pytorch: Concepts, Tools, and Techniques to Build Intelligent Systems
Géron, Aurélien
Paperback
The Black Swan: Second Edition: The Impact of the Highly Improbable: With a New Section: On Robustness and Fragility
Taleb, Nassim Nicholas
Paperback
Embedded Systems with ARM Cortex-M Microcontrollers in Assembly Language and C: Fourth Edition
Zhu, Yifeng
Paperback
We Are as Gods: A Survival Guide for the Age of Abundance
Diamandis, Peter H.
Kotler, Steven
Hardcover
Artificial Intelligence: A Guide for Thinking Humans (with a New Preface)
Mitchell, Melanie
Paperback
AP Computer Science a Premium, 13th Edition: Prep Book with 6 Practice Tests + Comprehensive Review + Online Practice (2026)
Carman, Chris
Teukolsky, Roselyn, M. S.
Paperback
Hands-On Large Language Models: Language Understanding and Generation
Grootendorst, Maarten
Alammar, Jay
Paperback
Human + Machine, Updated and Expanded: Reimagining Work in the Age of AI
Daugherty, Paul R.
Wilson, H. James
Hardcover
Guilty Pleasure: The Pornification of the Internet, the Economy, and Everything Else
Nilsson, Patricia
Hardcover
Fundamentals of Software Architecture: A Modern Engineering Approach
Ford, Neal
Richards, Mark
Paperback
Power and Prediction: The Disruptive Economics of Artificial Intelligence
Gans, Joshua
Goldfarb, Avi
Agrawal, Ajay
Hardcover
The Empty Center: Permission, Connection, and What We Build When the Future is Uncertain
Drumwright, Hayes
Hardcover
The Problem with Personalization: How Advertisers Learned to Make and Break Us from Ancient Times to the AI Age
Turow, Joseph
Hardcover
Tubes: A Journey to the Center of the Internet with a New Introduction by the Author
Blum, Andrew
Paperback
Minecraft: Exploded Builds: Medieval Fortress: An Official Mojang Book
Mojang Ab
The Official Minecraft Team
Paperback
AI Projects with Raspberry Pi: High-Performance Artificial Intelligence for Robotics, Security, Home Automation, and Vision
Hattersley, Lucy
Jepson, Brian
Paperback
RHCSA Red Hat Enterprise Linux 10: Training and Exam Preparation Guide (EX200), Fourth Edition
Ghori, Asghar
Paperback
You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place
Shane, Janelle
Paperback
The Empty Center: Permission, Connection, and What We Build When the Future is Uncertain
Drumwright, Hayes
Paperback
The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma
Suleyman, Mustafa
Hardcover
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Huyen, Chip
Paperback
Site Reliability Engineering: How Google Runs Production Systems
Jones, Chris
Leng, Christof
Beyer, Betsy
Paperback
AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
Narayanan, Arvind
Kapoor, Sayash
Hardcover
Artificial Intelligence All-In-One for Dummies
Massaron, Luca
Minnick, Chris
Mueller, John Paul
Paperback
The Death of Expertise: The Campaign Against Established Knowledge and Why It Matters
Nichols, Tom
Paperback
Graphic Artists Guild Handbook, 17th Edition: Pricing & Ethical Guidelines
The Graphic Artists Guild
Paperback
The Devops Handbook, 2nd Edition: How to Create World-Class Agility, Reliability, & Security in Technology Organizations
Kim, Gene
Humble, Jez
Debois, Patrick
Paperback
The Return on AI: From Promise to Profit in the Age of Intelligent Business
Sawhney, Mohanbir
Mittal, Ashwin
Paperback
Minecraft: Roll for Adventure: The Temple of the Charged Creeper
Forbeck, Marty
Forbeck, Matt
Hardcover
Comptia A+ Complete Study Guide, 2-Volume Set: Volume 1 Core 1 Exam 220-1201 and Volume 2 Core 2 Exam 220-1202
Docter, Quentin
Buhagiar, Jon
Paperback
Navigeren door het labyrint: Een handleiding voor het beheer van data
Sebastian-Coleman, Laura
Paperback
AI for Educators: Learning Strategies, Teacher Efficiencies, and a Vision for an Artificial Intelligence Future
Miller, Matt
Paperback
What Is Intelligence?: Lessons from AI about Evolution, Computing, and Minds
Aguera Y. Arcas, Blaise
Paperback
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Cetinkaya-Rundel, Mine
Wickham, Hadley
Grolemund, Garrett
Paperback
More Human: How the Power of AI Can Transform the Way You Lead
Hougaard, Rasmus
Carter, Jacqueline
Hardcover
Evals for AI Engineers: Systematically Measuring and Improving AI Applications
Husain, Hamel
Shankar, Shreya
Paperback
Microsoft 365 Excel All-In-One for Dummies
Kusleika, Dick
Ringstrom, David H.
Alexander, Michael
Paperback