Deep Learning with Keras: Introduction to Deep Learning with Keras

By Anthony S. Williams

Get this book today and learn more about Deep Learning with Keras Deep Learning With Keras

This book will introduce you to various deep learning models in Keras, and you will see how different neural networks can be used in real-world examples as well as in various scientific fields. You will explore various Keras algorithms like the simplest linear regression or more complex deep convolutional network. You will get to know what is the difference between supervised and unsupervised deep learning and you will be able to implement various algorithms in Keras by yourself as you follow step-by-step guide in this book.

You will explore various applications of deep learning models such as speech recognition systems, natural language processing, and video game development. A whole new world will open in front of you since, by the time you reach the final page of this book, you will be a Keras expert and ready for your deep-learning projects.

There is so much to learn in this book about Deep Learning with Keras and I do invite you to grab your copy today and get started

By downloading this book you will discover...Deep Neural NetworkNeural Network ElementsKeras ModelsSequential ModelFunctional API ModelKeras LayersCore Keras LayersConvolutional Keras LayersRecurrent Keras LayersDeep Learning AlgorithmsSupervised Learning AlgorithmsApplications of Deep Learning ModelsAutomatic Speech and Image RecognitionNatural Language ProcessingVideo Game DevelopmentReal World ApplicationsAnd of course much more Download this book today and learn more about Deep Learning with Keras ★★ Special 2-In-1 Deal - Buy The Paperback Version And Get The Ebook For FREE ★★★★ Scroll to the Top and Click the "Buy with 1-Click Button" ★★

• Format: Paperback
• Language: English
• ISBN: 1548585793
• ISBN13: 9781548585792
• Release Date: July 2017
• Publisher: Createspace Independent Publishing Platform
• Length: 116 Pages
• Weight: 0.27 lbs.
• Dimensions: 0.2" x 5.0" x 8.0"