Computer Vision Using Deep Learning

Neural Network Architectures with Python and Keras



Bookstore > Books > Computer Vision Using Deep Learning

Price$33.17 - $39.99
Rating
AuthorVaibhav Verdhan
PublisherApress
Published2021
Pages308
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101484266153
ISBN-139781484266151
EBook Hardcover Paperback

Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems.

This book will bring into focus these and other deep learning architectures and techniques to help you create solutions using Keras and the TensorFlow library. You'll also review mutliple neural network architectures, including LeNet, AlexNet, VGG, Inception, R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN, YOLO, and SqueezeNet and see how they work alongside Python code via best practices, tips, tricks, shortcuts, and pitfalls. All code snippets will be broken down and discussed thoroughly so you can implement the same principles in your respective environments.

Computer Vision Using Deep Learning offers a comprehensive yet succinct guide that stitches DL and CV together to automate operations, reduce human intervention, increase capability, and cut the costs.





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