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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

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

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

Beginning Machine Learning in the Browser

Beginning Machine Learning in the Browser

by Suryadevara Nagender Kumar

Apply Artificial Intelligence techniques in the browser or on resource constrained computing devices. Machine learning (ML) can be an intimidating subject until you know the essentials and for what applications it works. This book takes advantage of the intricacies of the ML processes by using a simple, flexible and portable programming language such as JavaScript to work with more approachable, fundamental...

Price:  $29.04  |  Publisher:  Apress  |  Release:  2021

AI for Healthcare with Keras and Tensorflow 2.0

AI for Healthcare with Keras and Tensorflow 2.0

by Anshik Bansal

Learn how AI impacts the healthcare ecosystem through real-life case studies with TensorFlow 2.0 and other machine learning (ML) libraries.This book begins by explaining the dynamics of the healthcare market, including the role of stakeholders such as healthcare professionals, patients, and payers. Then it moves into the case studies. The case studies start with EHR data and how you can account for sub-popu...

Price:  $36.74  |  Publisher:  Apress  |  Release:  2021

TensorFlow 2 Pocket Reference

TensorFlow 2 Pocket Reference

by KC Tung

This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself.When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the tra...

Price:  $22.01  |  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

Generative AI with Python and TensorFlow 2

Generative AI with Python and TensorFlow 2

by Joseph Babcock, Raghav Bali

In recent years, generative artificial intelligence has been instrumental in the creation of lifelike data (images, speech, video, music, and text) from scratch. In this book you will unpack how these powerful models are created from relatively simple building blocks, and how you might adapt these models to your own use cases.You will begin by setting up clean containerized environments for Python and getti...

Price:  $39.99  |  Publisher:  Packt Publishing  |  Release:  2021

AI and Machine Learning for On-Device Development

AI and Machine Learning for On-Device Development

by Laurence Moroney

AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android.Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and ...

Price:  $48.49  |  Publisher:  O'Reilly Media  |  Release:  2021

Practical Machine Learning for Computer Vision

Practical Machine Learning for Computer Vision

by Valliappa Lakshmanan, Martin Görner, Ryan Gillard

This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data p...

Price:  $59.54  |  Publisher:  O'Reilly Media  |  Release:  2021

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