Advanced Applied Deep Learning : Convolutional Neural Networks and Object Detection

Name: Advanced Applied Deep Learning
Brand: APress
SKU: 9781484249758
Price: 7200 KES
Availability: OutOfStock
ISBN: 9781484249758

by Umberto Michelucci

Book Details

Format Paperback / softback

ISBN-10 1484249755

ISBN-13 9781484249758

Publisher APress

Imprint APress

Country of Manufacture US

Country of Publication GB

Publication Date Sep 29th, 2019

Print length 285 Pages

Product Classification: Operating systems Programming & scripting languages: general Programming and scripting languages: general Artificial intelligence Artificial intelligence (AI)

KSh 7,200.00

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Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning, you will study advanced topics on CNN and object detection using Keras and TensorFlow.

Along the way, you will look at the fundamental operations in CNN, such as convolution and pooling, and then look at more advanced architectures such as inception networks, resnets, and many more. While the book discusses theoretical topics, you will discover how to work efficiently with Keras with many tricks and tips, including how to customize logging in Keras with custom callback classes, what is eager execution, and how to use it in your models.

Finally, you will study how object detection works, and build a complete implementation of the YOLO (you only look once) algorithm in Keras and TensorFlow. By the end of the book you will have implemented various models in Keras and learned many advanced tricks that will bring your skills to the next level.

What You Will Learn

See how convolutional neural networks and object detection work
Save weights and models on disk
Pause training and restart it at a later stage
Use hardware acceleration (GPUs) in your code
Work with the Dataset TensorFlow abstraction and use pre-trained models and transfer learning
Remove and add layers to pre-trained networks to adapt them to your specific project
Apply pre-trained models such as Alexnet and VGG16 to new datasets

Who This Book Is For

Scientists and researchers with intermediate-to-advanced Python and machine learning know-how. Additionally, intermediate knowledge of Keras and TensorFlow is expected.

Get Advanced Applied Deep Learning by Umberto Michelucci at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by APress and it has 285 pages.