Book Image

Deep Learning with TensorFlow 2 and Keras - Second Edition

By : Antonio Gulli, Amita Kapoor, Sujit Pal
Book Image

Deep Learning with TensorFlow 2 and Keras - Second Edition

By: Antonio Gulli, Amita Kapoor, Sujit Pal

Overview of this book

Deep Learning with TensorFlow 2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You’ll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available. TensorFlow is the machine learning library of choice for professional applications, while Keras offers a simple and powerful Python API for accessing TensorFlow. TensorFlow 2 provides full Keras integration, making advanced machine learning easier and more convenient than ever before. This book also introduces neural networks with TensorFlow, runs through the main applications (regression, ConvNets (CNNs), GANs, RNNs, NLP), covers two working example apps, and then dives into TF in production, TF mobile, and using TensorFlow with AutoML.
Table of Contents (19 chapters)
17
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18
Index

Google Cloud AutoML

Cloud AutoML (https://cloud.google.com/automl/) is a full suite of products for image, video, and text processing. As of the end of 2019, the suite consists of the following components, which do not require you to know how the deep learning networks are shaped internally:

AutoML Tables

  • Enables you to automatically build and deploy state-of-the-art machine learning models on structured data used for general supervised classification and regression (see chapters 1, 2, and 3).

AutoML Vision

  • AutoML Vision: Enables you to train machine learning models to classify your images according to your own defined labels.
  • AutoML Object Detection: Used to automatically build a custom model to detect objects in an image with bounding boxes and labels, then deploy it to the cloud or on the edge.

AutoML Natural Language

  • AutoML Text Classification: Used to automatically build a machine learning model to classify content into a custom set...