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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
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 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
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.
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