Librería: HPB Inc., Dallas, TX, Estados Unidos de America
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Añadir al carritopaperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Librería: California Books, Miami, FL, Estados Unidos de America
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Publicado por Packt Publishing 2020-07, 2020
ISBN 10: 1800201214 ISBN 13: 9781800201217
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Añadir al carritoCondición: New. Über den AutorrnrnHarveen Singh Chadha is an experienced researcher in deep learning and is currently working as a self-driving car engineer. He is focused on creating an advanced driver assistance systems (ADAS) platform. His passion is to.
Librería: Mispah books, Redhill, SURRE, Reino Unido
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Añadir al carritoPaperback. Condición: New. New. book.
Publicado por Packt Publishing Limited, 2020
ISBN 10: 1800201214 ISBN 13: 9781800201217
Idioma: Inglés
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por Packt Publishing Limited, 2020
ISBN 10: 1800201214 ISBN 13: 9781800201217
Idioma: Inglés
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por Packt Publishing Limited, 2020
ISBN 10: 1800201214 ISBN 13: 9781800201217
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cut through the noise and get real results with this workshop for beginners. Use a project-based approach to exploring machine learning with TensorFlow and Keras.Key FeaturesUnderstand the nuances of setting up a deep learning programming environmentGain insights into the common components of a neural network and its essential operationsGet to grips with deploying a machine learning model as an interactive web application with FlaskBook DescriptionMachine learning gives computers the ability to learn like humans. It is becoming increasingly transformational to businesses in many forms, and a key skill to learn to prepare for the future digital economy.As a beginner, you'll unlock a world of opportunities by learning the techniques you need to contribute to the domains of machine learning, deep learning, and modern data analysis using the latest cutting-edge tools.The Applied TensorFlow and Keras Workshop begins by showing you how neural networks work. After you've understood the basics, you will train a few networks by altering their hyperparameters. To build on your skills, you'll learn how to select the most appropriate model to solve the problem in hand. While tackling advanced concepts, you'll discover how to assemble a deep learning system by bringing together all the essential elements necessary for building a basic deep learning system - data, model, and prediction. Finally, you'll explore ways to evaluate the performance of your model, and improve it using techniques such as model evaluation and hyperparameter optimization.By the end of this book, you'll have learned how to build a Bitcoin app that predicts future prices, and be able to build your own models for other projects.What you will learnFamiliarize yourself with the components of a neural networkUnderstand the different types of problems that can be solved using neural networksExplore different ways to select the right architecture for your modelMake predictions with a trained model using TensorBoardDiscover the components of Keras and ways to leverage its features in your modelExplore how you can deal with new data by learning ways to retrain your modelWho this book is forIf you are a data scientist or a machine learning and deep learning enthusiast, who is looking to design, train, and deploy TensorFlow and Keras models into real-world applications, then this workshop is for you. Knowledge of computer science and machine learning concepts and experience in analyzing data will help you to understand the topics explained in this book with ease.