Automated Machine Learning with AutoKeras
Luis Sobrecueva
Verkauft von PBShop.store US, Wood Dale, IL, USA
AbeBooks-Verkäufer seit 7. April 2005
Neu - Softcover
Zustand: Neu
Anzahl: Mehr als 20 verfügbar
In den Warenkorb legenVerkauft von PBShop.store US, Wood Dale, IL, USA
AbeBooks-Verkäufer seit 7. April 2005
Zustand: Neu
Anzahl: Mehr als 20 verfügbar
In den Warenkorb legenNew Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Bestandsnummer des Verkäufers L0-9781800567641
Create better and easy-to-use deep learning models with AutoKeras
Key Features:
Book Description:
AutoKeras is an AutoML open-source software library that provides easy access to deep learning models. If you are looking to build deep learning model architectures and perform parameter tuning automatically using AutoKeras, then this book is for you.
This book teaches you how to develop and use state-of-the-art AI algorithms in your projects. It begins with a high-level introduction to automated machine learning, explaining all the concepts required to get started with this machine learning approach. You will then learn how to use AutoKeras for image and text classification and regression. As you make progress, you'll discover how to use AutoKeras to perform sentiment analysis on documents. This book will also show you how to implement a custom model for topic classification with AutoKeras. Toward the end, you will explore advanced concepts of AutoKeras such as working with multi-modal data and multi-task, customizing the model with AutoModel, and visualizing experiment results using AutoKeras Extensions.
By the end of this machine learning book, you will be able to confidently use AutoKeras to design your own custom machine learning models in your company.
What You Will Learn:
Who this book is for:
This book is for machine learning and deep learning enthusiasts who want to apply automated ML techniques to their projects. Prior basic knowledge of Python programming and machine learning is expected to get the most out of this book.
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