Description: About this Item The item is a book Paperback The Author Name is Juan De Dios Santos Rivera The Title is Practical TensorFlow.js : Deep Learning in Web App Development Condition New Other Comments Pages Count - 328. Binding type - Perfect. Content Language - English Category - COMPUTERS / Artificial Intelligence / General Product Description - Develop and deploy deep learning web apps using the TensorFlow.js library. TensorFlow. js is part of a bigger framework named TensorFlow, which has many tools that supplement it, such as TensorBoard , ml5js , tfjs-vis. This book will cover all these technologies and show they integrate with TensorFlow. js to create intelligent web apps. The most common and accessible platform users interact with everyday is their web browser, making it an ideal environment to deploy AI systems. TensorFlow.js is a well-known and battle-tested library for creating browser solutions. Working in JavaScript, the so-called language of the web, directly on a browser, you can develop and serve deep learning applications.You'll work with deep learning algorithms such as feedforward neural networks, convolutional neural networks CNN, recurrent neural networks RNN, and generative adversarial network GAN. Through hands-on examples, apply these networks in use cases related to image classification, natural language processing, object detection, dimensionality reduction, image translation, transfer learning, and time series analysis. Also, these topics are very varied in terms of the kind of data they use, their output, and the training phase. Not everything in machine learning is deep networks, there is also what some call shallow or traditional machine learning. While TensorFlow.js is not the most common place to implement these, you'll be introduce them and review the basics of machine learning through TensorFlow.js. What You'll LearnBuild deep learning products suitable for web browsersWork with deep learning algorithms such as feedforward neural networks, convolutional neural networks CNN, recurrent neural networks RNN, and generative adversarial network GANDevelop apps using image classification, natural language processing, object detection, dimensionality reduction, image translation, transfer learning, and time series analysisWho This Book Is For Programmers developing deep learning solutions for the web and those who want to learn TensorFlow.js with at least minimal programming and software development knowledge. No prior JavaScript knowledge is required, but familiarity with it is helpful. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 166717734
Price: 95.23 USD
Location: US
End Time: 2024-11-10T22:13:01.000Z
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Fiction/Non-Fiction: Non-Fiction
Genre/Subject: COMPUTERS / Artificial Intelligence / General
Brand: APress
Weight: 0.46
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Title: Practical TensorFlow.js Deep Learning in Web App Development
Release Title: Practical TensorFlow.js Deep Learning in Web App Development
Record Grading: New
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Film/TV Title: Practical TensorFlow.js Deep Learning in Web App Development
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Movie/TV Title: Practical TensorFlow.js Deep Learning in Web App Development
UPC: 9781484262726
EAN: 9781484262726
ISBN: 9781484262726
Binding Type: Perfect
Item Height: 17.53
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Number of Pages: Xxiv, 303 Pages
Publication Name: Practical Tensorflow. JS : Deep Learning in Web App Development
Language: English
Publisher: Apress L. P.
Subject: Intelligence (Ai) & Semantics
Publication Year: 2020
Type: Textbook
Item Weight: 17.8 Oz
Subject Area: Computers
Item Length: 9.3 in
Author: Juan Rivera
Item Width: 6.1 in
Format: Trade Paperback
