Read Deep Learning for Beginners: Concepts and Algorithms

Deep Learning for Beginners: Concepts and Algorithms

François Duval

4.9/5 (25789 ratings)

Description:***** Buy now (Will soon return to $38.99 + Special Offer Below) ***** ***** #1 Kindle Store Bestseller in Computer Modelling ***** Free Kindle eBook for customers who purchase the print book from Amazon Are you thinking of learning more about Deep Learning? If you are looking for a book to help you understand concepts and algorithms of deep learning, then this is a good book for you. Several Visual Illustrations and Examples Equations are great for really understanding every last detail of an algorithm. But to get a basic idea of how things work, this book contains several graphs which detail each neural networks/deep learning algorithms. It is contains also several graphs for the practical examples. This Is a Practical Guide Book This book will help you explore exactly what deep learning is and will also teach you about why it is so revolutionary and fascinating. The chapters will introduce the reader to the concepts, techniques, and applications of deep learning algorithms with the practical case studies and walk-through examples on which to practice. This book takes a different approach that is based on providing simple examples of how deep learning algorithms work, and building on those examples step by step to encompass the more complicated parts of the algorithms.Target Users The book designed for a variety of target audiences. The most suitable users would include:Newbies in computer science techniques and deep learningProfessionals in data science and social sciencesProfessors, lecturers or tutors who are looking to find better ways to explain the content to their students in the simplest and easiest wayStudents and academicians, especially those focusing on neural networks and deep learningWhat's inside this book?Pre-requisite for Deep LearningIntroduction to Artificial Neural NetworksThe Basics of Artificial Neural NetworksDeep Learning Evolution and Recurring MethodsRelationship between machine learning and deep learningMultilayer Perceptron (MLP)Convolutional Neural Networks (CNN)Other Deep Learning AlgorithmsDeep Learning ApplicationsGlossary of Some Useful Terms in Deep LearningUseful ReferencesFrequently Asked QuestionsQ: Is this book for me and do I need programming experience? A: If you want to learn more about deep learning, this book is for you. Little math knowledge is required. If you already have a basic notion in statistic and data science, you'll be OK. No coding experience is required.Q: Can I loan this book to friends? A: Yes. Under Amazon's Kindle Book Lending program, you can lend this book to friends and family for a duration of 14 days.Q: Does this book include everything I need to become a deep learning expert? A: Unfortunately, no. This book is designed for readers taking their first steps in deep learning and further learning will be required beyond this book to master all aspects of deep learning.Q: Can I have a refund if this book is not fitted for me? A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. will also be happy to help you if you send us an email at [email protected] have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Deep Learning for Beginners: Concepts and Algorithms. To get started finding Deep Learning for Beginners: Concepts and Algorithms, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 126

Format: PDF, EPUB & Kindle Edition

Publisher: Createspace Independent Publishing Platform

Release: 2018

ISBN: 1983843822

Description: ***** Buy now (Will soon return to $38.99 + Special Offer Below) ***** ***** #1 Kindle Store Bestseller in Computer Modelling ***** Free Kindle eBook for customers who purchase the print book from Amazon Are you thinking of learning more about Deep Learning? If you are looking for a book to help you understand concepts and algorithms of deep learning, then this is a good book for you. Several Visual Illustrations and Examples Equations are great for really understanding every last detail of an algorithm. But to get a basic idea of how things work, this book contains several graphs which detail each neural networks/deep learning algorithms. It is contains also several graphs for the practical examples. This Is a Practical Guide Book This book will help you explore exactly what deep learning is and will also teach you about why it is so revolutionary and fascinating. The chapters will introduce the reader to the concepts, techniques, and applications of deep learning algorithms with the practical case studies and walk-through examples on which to practice. This book takes a different approach that is based on providing simple examples of how deep learning algorithms work, and building on those examples step by step to encompass the more complicated parts of the algorithms.Target Users The book designed for a variety of target audiences. The most suitable users would include:Newbies in computer science techniques and deep learningProfessionals in data science and social sciencesProfessors, lecturers or tutors who are looking to find better ways to explain the content to their students in the simplest and easiest wayStudents and academicians, especially those focusing on neural networks and deep learningWhat's inside this book?Pre-requisite for Deep LearningIntroduction to Artificial Neural NetworksThe Basics of Artificial Neural NetworksDeep Learning Evolution and Recurring MethodsRelationship between machine learning and deep learningMultilayer Perceptron (MLP)Convolutional Neural Networks (CNN)Other Deep Learning AlgorithmsDeep Learning ApplicationsGlossary of Some Useful Terms in Deep LearningUseful ReferencesFrequently Asked QuestionsQ: Is this book for me and do I need programming experience? A: If you want to learn more about deep learning, this book is for you. Little math knowledge is required. If you already have a basic notion in statistic and data science, you'll be OK. No coding experience is required.Q: Can I loan this book to friends? A: Yes. Under Amazon's Kindle Book Lending program, you can lend this book to friends and family for a duration of 14 days.Q: Does this book include everything I need to become a deep learning expert? A: Unfortunately, no. This book is designed for readers taking their first steps in deep learning and further learning will be required beyond this book to master all aspects of deep learning.Q: Can I have a refund if this book is not fitted for me? A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. will also be happy to help you if you send us an email at [email protected] have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Deep Learning for Beginners: Concepts and Algorithms. To get started finding Deep Learning for Beginners: Concepts and Algorithms, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Deep Learning for Beginners: Concepts and Algorithms

Deep Learning for Beginners: Concepts and Algorithms

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