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Mastering Neural Network Computer Vision with TensorFlow and Keras

A practical guide to image use cases like object detection, image segmentation, and text recognition...

Jean Anoma

$101.95   $81.33

Paperback

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English
BPB Publications
06 January 2025
The different chapters of the book cover a comprehensive range of topics in computer vision and deep learning. The first chapter provides a theoretical introduction to computer vision and deep learning, and the second one provides an overview of TensorFlow and its capabilities. The subsequent chapters cover specific applications of neural networks in computer vision, such as image classification, image segmentation, and object detection, and how to tap into the power of transfer learning and pre-trained models to address those use cases. Finally, the remaining chapters cover how to design your own neural network, gather a proper dataset and train your model efficiently. They also cover image generation and ethical considerations around computer vision.
By:  
Imprint:   BPB Publications
Dimensions:   Height: 235mm,  Width: 191mm, 
ISBN:   9789365897609
ISBN 10:   9365897602
Pages:   330
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

Jean Anoma is an accomplished lecturer and practitioner in the field of neural networks with more than 6 years of practical experience solving complex problems in computer vision and natural language processing. After completing his master's thesis on fast bib recognition with deep learning at the Femto ST research laboratory in France.

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