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ria9781484262726_inpPaperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; 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. Th paperback
B9781484262726Paperback / softback. New. 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.<br />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.<br /><br />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.<br /><b>What You'll Learn</b><p></p><ul><li>Build deep learning products suitable for web browsers<br /></li><li>Work with deep learning algorithms such as feedforward neural networks convolutional neural networks CNN recurrent neural networks RNN and generative adversarial network GAN<br /></li><li>Develop apps using image classification natural language processing object detection dimensionality reduction image translation transfer learning and time series analysis<br /></li></ul><b>Who This Book Is For</b><br /><br /> 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. paperback
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2011DADAX3844319530LAP Lambert Academic Publishing 2011-05-18. paperback. New. 5.91x0.21x8.66. Buy with confidence. Excellent Customer Service & Return policy. LAP Lambert Academic Publishing paperback
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6128907936VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG pp. 92 . Papeback. New. VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG unknown
20192-6139522552Éditions universitaires européennes 2019. Paperback. New. 112 pages. French language. 8.66x5.91x0.26 inches. Éditions universitaires européennes paperback
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20191-3330072814LAP LAMBERT Academic Publishing 2019. Paperback. New. 88 pages. 8.66x5.91x0.20 inches. LAP LAMBERT Academic Publishing paperback
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19992-273848039XEditions L'Harmattan 1999. Paperback. New. 255 pages. French language. 8.27x5.28x0.71 inches. Editions L'Harmattan paperback
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