Free downloads of ebooks for kobo The Deep Learning Revolution 9780262038034 by Terrence J. Sejnowski (English literature)

The Deep Learning Revolution. Terrence J. Sejnowski

The-Deep-Learning-Revolution.pdf
ISBN: 9780262038034 | 352 pages | 9 Mb

• The Deep Learning Revolution
• Terrence J. Sejnowski
• Page: 352
• Format: pdf, ePub, fb2, mobi
• ISBN: 9780262038034
• Publisher: MIT Press

Download The Deep Learning Revolution

Free downloads of ebooks for kobo The Deep Learning Revolution 9780262038034 by Terrence J. Sejnowski (English literature)

The Deep Learning Revolution by Terrence J. Sejnowski How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.

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The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go.
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Format Available : PDF, ePub, Mobi Total Read : 97 Total Download : 377 File Size : 49,5 Mb. Description : How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange.
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The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go.
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In Coding the Deep Learning Revolution – a step by step introduction using Python, TensorFlow and Keras you’ll be getting a head start on your deep learning journey. This book has been written to provide readers with a thorough and practical guide to the fundamental concepts and architectures of deep learning, using Python and the most popular deep learning frameworks – TensorFlow and Keras.
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Coding the Deep Learning Revolution eBook: this 128 A4 page eBook covers all the key concepts mentioned above to get you up to speed in deep learning: deep learning and its history, the computational graph, introductions to TensorFlow and Keras, weight initialization and activations, the vanishing gradient problem, Convolutional Neural Networks, Recurrent Neural Networks, Transfer Learning and more.
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