Neural Network Tutorials Herong S Tutorial Examples
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Neural Network Tutorials Herong S Tutorial Examples
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Author : Herong Yang
language : en
Publisher: HerongYang.com
Release Date : 2021-03-06
Neural Network Tutorials Herong S Tutorial Examples written by Herong Yang and has been published by HerongYang.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-06 with Computers categories.
This book is a collection of notes and sample codes written by the author while he was learning Neural Networks in Machine Learning. Topics include Neural Networks (NN) concepts: nodes, layers, activation functions, learning rates, training sets, etc.; deep playground for classical neural networks; building neural networks with Python; walking through Tariq Rashi's 'Make Your Own Neural Network' source code; using 'TensorFlow' and 'PyTorch' machine learning platforms; understanding CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), GNN (Graph Neural Network). Updated in 2023 (Version v1.22) with minor updates. For latest updates and free sample chapters, visit https://www.herongyang.com/Neural-Network.
Neural Network Tutorials Herong S Tutorial Examples
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Author : Herong Yang
language : en
Publisher: HerongYang.com
Release Date : 2021-03-06
Neural Network Tutorials Herong S Tutorial Examples written by Herong Yang and has been published by HerongYang.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-06 with Computers categories.
This book is a collection of notes and sample codes written by the author while he was learning Neural Networks in Machine Learning. Topics include Neural Networks (NN) concepts: nodes, layers, activation functions, learning rates, training sets, etc.; deep playground for classical neural networks; building neural networks with Python; walking through Tariq Rashi's 'Make Your Own Neural Network' source code; using 'TensorFlow' and 'PyTorch' machine learning platforms; understanding CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), GNN (Graph Neural Network). Updated in 2023 (Version v1.22) with minor updates. For latest updates and free sample chapters, visit https://www.herongyang.com/Neural-Network.
Python Tutorials Herong S Tutorial Examples
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Author : Herong Yang
language : en
Publisher: HerongYang.com
Release Date : 2011-04-01
Python Tutorials Herong S Tutorial Examples written by Herong Yang and has been published by HerongYang.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-01 with Computers categories.
This Python tutorial book is a collection of notes and sample codes written by the author while he was learning Python language himself. Topics include: installing Python environments on Windows, macOS and Linux computer; Python built-in data types; variables, operations, expressions and statements; user-defined functions; iterators, generators and list/set/dictionary comprehensions; modules and packages; sys, os, and pathlib modules; Anaconda Python environment manager; Jupyter Notebooks; NumPy, SciPy libraries. Updated in 2024 (Version v2.15) with minor changes. For latest updates and free sample chapters, visit https://www.herongyang.com/Python.
Deep Learning
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Author : Ian Goodfellow
language : en
Publisher: MIT Press
Release Date : 2016-11-10
Deep Learning written by Ian Goodfellow and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Computers categories.
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Hands On Machine Learning With Scikit Learn Keras And Tensorflow
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Author : Aurélien Géron
language : en
Publisher: O'Reilly Media
Release Date : 2019-09-05
Hands On Machine Learning With Scikit Learn Keras And Tensorflow written by Aurélien Géron and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-05 with Computers categories.
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets
Android Tutorials Herong S Tutorial Examples
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Author : Herong Yang
language : en
Publisher: HerongYang.com
Release Date : 2021-05-01
Android Tutorials Herong S Tutorial Examples written by Herong Yang and has been published by HerongYang.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-01 with Computers categories.
This book is a collection of notes and sample codes written by the author while he was learning Android system. Topics include Installing of Android SDK on Windows, Creating and running Android emulators, Developing First Android Application - HelloAndroid, Creating Android Project with 'android' Command, Building, Installing and Running the Debug Binary Package, Inspecting Android Application Package (APK) Files, Using Android Debug Bridge (adb) Tool, Copying files from and to Android device, Understanding Android File Systems, Using Android Java class libraries, Using 'adb logcat' Command for Debugging. Updated in 2023 (Version v3.05) with ADB tutorials. For latest updates and free sample chapters, visit https://www.herongyang.com/Android.
Xml Tutorials Herong S Tutorial Examples
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Author : Herong Yang
language : en
Publisher: Lulu.com
Release Date : 2018-08-18
Xml Tutorials Herong S Tutorial Examples written by Herong Yang and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-18 with Computers categories.
This XML tutorial book is a collection of notes and sample codes written by the author while he was learning XML himself. Topics include introduction to XML, DTD (Document Type Definition), XSD (XML Schema Definition), XPath (XML Path Language), XSL (Extensible Stylesheet Language), XSLT (XSL Transformation), XSL-FO (Formatting Objects), DOM (Document Object Model), and SAX (Simple API for XML); viewing XML with Chrome and Web browsers; editing XML with Notepad++, XML Notepad; generating and parsing XML with Java. For latest update, visit http://www.herongyang.com/XML.
Artificial Neural Networks In Real Life Applications
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Author : Juan Ramon Rabunal
language : en
Publisher: IGI Global
Release Date : 2006-01-01
Artificial Neural Networks In Real Life Applications written by Juan Ramon Rabunal and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-01 with Technology & Engineering categories.
"This book offers an outlook of the most recent works at the field of the Artificial Neural Networks (ANN), including theoretical developments and applications of systems using intelligent characteristics for adaptability"--Provided by publisher.
A Handbook Of Reflective And Experiential Learning
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Author : Jennifer A. Moon
language : en
Publisher: Routledge
Release Date : 2013-04-15
A Handbook Of Reflective And Experiential Learning written by Jennifer A. Moon and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-15 with Education categories.
Reflective and experiential learning are now common currency in education and training and are recognized as important tools. This handbook acts as an essential guide to understanding and using these techniques in educational and training contexts.
Demystifying The Brain
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Author : V. Srinivasa Chakravarthy
language : en
Publisher: Springer
Release Date : 2018-12-18
Demystifying The Brain written by V. Srinivasa Chakravarthy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-18 with Computers categories.
This book presents an emerging new vision of the brain, which is essentially expressed in computational terms, for non-experts. As such, it presents the fundamental concepts of neuroscience in simple language, without overwhelming non-biologists with excessive biological jargon. In addition, the book presents a novel computational perspective on the brain for biologists, without resorting to complex mathematical equations. It addresses a comprehensive range of topics, starting with the history of neuroscience, the function of the individual neuron, the various kinds of neural network models that can explain diverse neural phenomena, sensory-motor function, language, emotions, and concluding with the latest theories on consciousness. The book offers readers a panoramic introduction to the “new brain” and a valuable resource for interdisciplinary researchers looking to gatecrash the world of neuroscience.