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TensorFlow 2.0 computer vision cookbook: implement machine learning solutions to overcome various computer vision challenges

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Contents:

1. Getting Started with TensorFlow 2.x for Computer Vision
2. Performing Image Classification
3. Harnessing the Power of Pre-Trained Networks with Transfer Learning
4. Enhancing and Styling Images with DeepDream, Neural Style Transfer, and Image Super-Resolution
5. Reducing Noise with Autoencoders
6. Generative Models and Adversarial Attacks
7. Captioning Images with CNNs and RNNs
8. Fine-Grained Understanding of Images through Segmentation
9. Localizing Elements in Images with Object Detection
10. Applying the Power of Deep Learning to Videos
11. Streamlining Network Implementation with AutoML
12. Boosting Performance

BOOK REVIEW:

Computer vision is a scientific field that enables machines to identify and process digital images and videos. This book focuses on independent recipes to help you perform various computer vision tasks using TensorFlow.

The book begins by taking you through the basics of deep learning for computer vision, along with covering TensorFlow 2.x's key features, such as the Keras and tf.data.Dataset APIs. You'll then learn about the ins and outs of common computer vision tasks, such as image classification, transfer learning, image enhancing and styling, and object detection. The book also covers autoencoders in domains such as inverse image search indexes and image denoising, while offering insights into various architectures used in the recipes, such as convolutional neural networks (CNNs), region-based CNNs (R-CNNs), VGGNet, and You Only Look Once (YOLO).

Moving on, you'll discover tips and tricks to solve any problems faced while building various computer vision applications. Finally, you'll delve into more advanced topics such as Generative Adversarial Networks (GANs), video processing, and AutoML, concluding with a section focused on techniques to help you boost the performance of your networks.

By the end of this TensorFlow book, you'll be able to confidently tackle a wide range of computer vision problems using TensorFlow 2.x.

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Availability

210263

006.3 MAR t

My Library

Available

Detail Information

Series Title

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Call Number

006.3 MAR t

Publisher

Packt Publishing : Birmingham., 2021

Collation

xv, 518 hlm.; 23 cm

Language

English

ISBN/ISSN

978-1-83882-913-1

Classification

006.3

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

PRODI TEKNIK INFORMATIKA
DATA STRUCTURES (COMPUTER SCIENCE)
ARTIFICIAL INTELLIGENCE
MACHINE LEARNING

Specific Detail Info

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Statement of Responsibility

Jesus Martinez

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