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Convolutional Neural Networks with Swift for Tensorflow

Convolutional Neural Networks with Swift for Tensorflow

by Brett Koonce

Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you...

Price:  $29.14  |  Publisher:  Apress  |  Release:  2021

Computer Vision Using Deep Learning

Computer Vision Using Deep Learning

by Vaibhav Verdhan

Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. This book will bring into focus these and other deep learning architectures and techniques to help you create solutions using Keras and the...

Price:  $30.95  |  Publisher:  Apress  |  Release:  2021

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

Deep Reinforcement Learning in Unity

Deep Reinforcement Learning in Unity

by Abhilash Majumder

Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity.This book starts with an introduction to state-based reinforcement learning algorithms involving Markov models, Bellman equations, and writing custom C# code with the aim of contrasting value and policy-based functions in reinforcement learning. Then, you will move on to path finding and navigation meshe...

Price:  $49.36  |  Publisher:  Apress  |  Release:  2021

Blockchain Enabled Applications, 2nd Edition

Blockchain Enabled Applications, 2nd Edition

by Vikram Dhillon, David Metcalf, Max Hooper

Learn all about blockchain and its applications in cryptocurrency, healthcare, Internet of Things, finance, decentralized organizations, and more. Featuring case studies and practical insights, this book covers a unique mix of topics and offers insight into how to overcome hurdles that arise as the market and consumers grow accustomed to blockchain-based organizations and services.The book is divided into t...

Price:  $34.55  |  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

TensorFlow 2.x in the Colaboratory Cloud

TensorFlow 2.x in the Colaboratory Cloud

by David Paper

Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially well suited as a platform for TensorFlow 2.x deep learning applications. You will learn Colab's default install of the most current TensorFlow 2.x along with Colab's easy access to on-demand GPU hardware acceleration in the cloud for fast execution of deep learning model...

Price:  $36.22  |  Publisher:  Apress  |  Release:  2021

Data Science Revealed

Data Science Revealed

by Tshepo Chris Nokeri

Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models. Each chapter includes a set of examples allowing you to understand the concepts, assumptions, and procedures ...

Price:  $31.57  |  Publisher:  Apress  |  Release:  2021

Spring Boot: Up and Running

Spring Boot: Up and Running

by Mark Heckler

With over 75 million downloads per month, Spring Boot is the most widely used Java framework available. Its ease and power have revolutionized application development from monoliths to microservices. Yet Spring Boot's simplicity can also be confounding. How do developers learn enough to be productive immediately? This practical book shows you how to use this framework to write successful mission-critical ap...

Price:  $47.07  |  Publisher:  O'Reilly Media  |  Release:  2021

Learning TensorFlow.js

Learning TensorFlow.js

by Gant Laborde

Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde (Google Developer Expert in machine learningand the web) provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that in...

Price:  $40.99  |  Publisher:  O'Reilly Media  |  Release:  2021

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