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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras

Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras

Paperback

General Computers

Publisher Price: $54.99

ISBN10: 1484266153
ISBN13: 9781484266151
Publisher: Apress
Published: Feb 15 2021
Pages: 308
Weight: 1.03
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English

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.

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