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Deep Learning with Swift for TensorFlow

Deep Learning with Swift for TensorFlow

by Rahul Bhalley

Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both with support for modern hardware accelerators and more. This book covers the deep learning concepts from fundam...

Price:  $36.13  |  Publisher:  Apress  |  Release:  2021

Beginning Mathematica and Wolfram for Data Science

Beginning Mathematica and Wolfram for Data Science

by Jalil Villalobos Alva

Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The book will introduce you to the Wolfram programming language and its syntax, as well as the structure of Mathematica and its advantages and disadvantages.You'll see how to use the Wolfram language for data science from a theoretical and practical perspective. Lear...

Price:  $36.52  |  Publisher:  Apress  |  Release:  2021

Real-Time IoT Imaging with Deep Neural Networks

Real-Time IoT Imaging with Deep Neural Networks

by Nicolas Modrzyk

This book shows you how to build real-time image processing systems all the way through to house automation. Find out how you can develop a system based on small 32-bit ARM processors that gives you complete control through voice commands.Real-time image processing systems are utilized in a wide variety of applications, such as in traffic monitoring systems, medical image processing, and biometric security ...

Price:  $16.19  |  Publisher:  Apress  |  Release:  2020

Tensorflow 2 Tutorial

FREE EBOOK - Tensorflow 2 Tutorial

by Ren Zhang

TensorFlow is a free and open-source software library for machine learning. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.This book is a somewhat intermediate-level introduction to Tensorflow 2. We will eventually cover everything tf.keras, but no so fast until we implemented them with raw tffirst....

Publisher:  Self-publishing  |  Release:  2020

Introducing Machine Learning

Introducing Machine Learning

by Dino Esposito, Francesco Esposito

Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft's powerful ML.NET library, including capabilities for data processing, training, and eval...

Price:  $33.71  |  Publisher:  Microsoft Press  |  Release:  2020

Deep Learning with Python

Deep Learning with Python

by Nihkil Ketkar

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This new edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook's Artificial Intelligence Research Group.You'll start with a perspec...

Price:  $32.99  |  Publisher:  Apress  |  Release:  2020

Next-Generation Machine Learning with Spark

Next-Generation Machine Learning with Spark

by Butch Quinto

Access real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications.The past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting our everyday life and making an impact across every industry.Next-Generation Machine Learning with Spark provides a gentle introduction to Spark and Spark...

Price:  $26.41  |  Publisher:  Apress  |  Release:  2020

Artificial Intelligence in Finance

Artificial Intelligence in Finance

by Yves Hilpisch

The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit ...

Price:  $52.33  |  Publisher:  O'Reilly Media  |  Release:  2020

Deep Learning with PyTorch

Deep Learning with PyTorch

by Eli Stevens, Luca Antiga, Thomas Viehmann

Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep learning skills - become more sophisticated. Deep Learning with Py...

Price:  $39.99  |  Publisher:  Manning  |  Release:  2020

Deep Reinforcement Learning in Action

Deep Reinforcement Learning in Action

by Alexander Zai, Brandon Brown

Humans learn best from feedback - we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement ...

Price:  $39.99  |  Publisher:  Manning  |  Release:  2020

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