• Complain

Matthew Lamons - Python Deep Learning Projects

Here you can read online Matthew Lamons - Python Deep Learning Projects full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2018, publisher: Packt Publishing, genre: Science. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

No cover

Python Deep Learning Projects: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Python Deep Learning Projects" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier.Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping you progressively master the subject. Youll learn how to implement a text classifier system using a recurrent neural network (RNN) model and optimize it to understand the shortcomings you might experience while implementing a simple deep learning system.Similarly, youll discover how to develop various projects, including word vector representation, open domain question answering, and building chatbots using seq-to-seq models and language modeling. In addition to this, youll cover advanced concepts, such as regularization, gradient clipping, gradient normalization, and bidirectional RNNs, through a series of engaging projects.By the end of this book, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient way

Matthew Lamons: author's other books


Who wrote Python Deep Learning Projects? Find out the surname, the name of the author of the book and a list of all author's works by series.

Python Deep Learning Projects — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Python Deep Learning Projects" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
Python Deep Learning Projects 9 projects demystifying neural network and - photo 1
Python Deep Learning Projects
9 projects demystifying neural network and deep learning models for building intelligent systems
Matthew Lamons
Rahul Kumar
Abhishek Nagaraja

BIRMINGHAM - MUMBAI Python Deep Learning Projects Copyright 2018 Packt - photo 2

BIRMINGHAM - MUMBAI
Python Deep Learning Projects

Copyright 2018 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Commissioning Editor: Pravin Dhandre
Acquisition Editor: Karan Jain
Content Development Editor: Karan Thakkar
Technical Editor: Nilesh Sawakhande
Copy Editor: Safis Editing
Project Coordinator: Nidhi Joshi
Proofreader: Safis Editing
Indexer: Aishwarya Gangawane
Graphics: Jisha Chirayil
Production Coordinator: Nilesh Mohite

First published: October 2018

Production reference: 1311018

Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.

ISBN 978-1-78899-709-6

www.packtpub.com

To my wife Kristine for her impatience with unintelligent technology and superhuman patience with me. The first provided me with the goal to study and apply deep learning to everyday problems, the second the time!
To my children Ethan and Margarete & husband Derek, and colleagues at The Intelligence Factory and Skejul Inc., for your support & encouragement as we work together to be the architects of the future and not it's victims.
Matthew Lamons

To my mom, dad and sister for constant support and motivation. To Late Prof. Pervez Ahmed for his wisdom and guidance which helped me to build my foundation and all my teachers for showing me the way.

To my friends for discussing ideas. And to the amazing team at Jatana.ai and BotSupply.ai. for pushing the boundaries of what I could achieve while creating technology products that drive innovation for a better future.
Rahul Kumar

To my mom, Nagarathna, and my dad, Nagaraja for your support, love, and for always being there for me. To my sisters Deepthi and Madhuri for always encouraging and guiding me all the way. To my amazing colleagues at Skejul Inc., for your constant support and believing in me. To Matthew Lamons for his guidance and for this opportunity.
Abhishek Nagaraja
maptio Mapt is an online digital library that gives you full access to over - photo 3
mapt.io

Mapt is an online digital library that gives you full access to over 5,000 books and videos, as well as industry leading tools to help you plan your personal development and advance your career. For more information, please visit our website.

Why subscribe?
  • Spend less time learning and more time coding with practical eBooks and Videos from over 4,000 industry professionals
  • Improve your learning with Skill Plans built especially for you
  • Get a free eBook or video every month
  • Mapt is fully searchable
  • Copy and paste, print, and bookmark content
Packt.com

Did you know that Packt offers eBook versions of every book published, with PDF and ePub files available? You can upgrade to the eBook version at www.packt.com and as a print book customer, you are entitled to a discount on the eBook copy. Get in touch with us at customercare@packtpub.com for more details.

At www.packt.com , you can also read a collection of free technical articles, sign up for a range of free newsletters, and receive exclusive discounts and offers on Packt books and eBooks.

Contributors
About the authors

Matthew Lamons's background is in experimental psychology and deep learning. Founder and CEO of Skejulthe AI platform to help people manage their activities. Named by Gartner, Inc. as a "Cool Vendor" in the "Cool Vendors in Unified Communication, 2017" report. He founded The Intelligence Factory to build AI strategy, solutions, insights, and talent for enterprise clients and incubate AI tech startups based on the success of his Applied AI MasterMinds group. Matthew's global community of more than 85 K are leaders in AI, forecasting, robotics, autonomous vehicles, marketing tech, NLP, computer vision, reinforcement, and deep learning. Matthew invites you to join him on his mission to simplify the future and to build AI for good.

Rahul Kumar is an AI scientist, deep learning practitioner, and independent researcher. His expertise in building multilingual NLU systems and large-scale AI infrastructures has brought him to Copenhagen, where he leads a large team of AI engineers as Chief AI Scientist at Jatana.ai.
Often invited to speak at AI conferences, he frequently travels between India, Europe, and the US where, among other research initiatives, he collaborates with The Intelligence Factory as NLP data science fellow. Keen to explore the ramifications of emerging technologies for his next book, he's currently involved in various research projects on Quantum Computing (QC), high-performance computing (HPC), and the brain-computer interaction (BCI).

Abhishek Nagaraja was born and raised in India. Graduated Magna Cum Laude from the University of Illinois at Chicago, United States, with a Masters Degree in Mechanical Engineering with a concentration in Mechatronics and Data Science. Abhishek specializes in Keras and TensorFlow for building and evaluation of custom architectures in deep learning recommendation models. His deep learning skills and interest span computational linguistics and NLP to build chatbots to computer vision and reinforcement learning. He has been working as a Data Scientist for Skejul Inc. building an AI-powered activity forecast engine and engaged as a Deep Learning Data Scientist with The Intelligence Factory building solutions for enterprise clients.

About the reviewers

Doug Ortiz is the founder of Illustris, LLC and is an experienced enterprise cloud, big data, data analytics, and solutions architect who has architected, designed, developed, re-engineered, and integrated enterprise solutions. His other areas of expertise include Amazon Web Services, Azure, Google Cloud, Business Intelligence, Hadoop, Spark, NoSQL Databases, and SharePoint, to name but a few.

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Python Deep Learning Projects»

Look at similar books to Python Deep Learning Projects. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Python Deep Learning Projects»

Discussion, reviews of the book Python Deep Learning Projects and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.