Kniha Applied TensorFlow and Keras Workshop Luis Capelo

Applied TensorFlow and Keras Workshop

Autor: Luis Capelo
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 9-15 dnů
771
Cut through the noise and get real results with this workshop for beginners. Use a project-based app...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2020
Stránek
174
EAN
9781800201217
ISBN
1800201214
Enbook ID
33056360
Hmotnost
338
Rozměry
191 x 235 x 10

Kompletní popis

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 Features



  • Understand the nuances of setting up a deep learning programming environment

  • Gain insights into the common components of a neural network and its essential operations

  • Get to grips with deploying a machine learning model as an interactive web application with Flask



Book Description


Machine 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 learn




  • Familiarize yourself with the components of a neural network

  • Understand the different types of problems that can be solved using neural networks

  • Explore different ways to select the right architecture for your model

  • Make predictions with a trained model using TensorBoard

  • Discover the components of Keras and ways to leverage its features in your model

  • Explore how you can deal with new data by learning ways to retrain your model



Who this book is for


If 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.

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