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

Name: Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras
Brand: APress
SKU: 9781484266151
Price: 37.68 EUR
Availability: InStock

Autor: Vaibhav Verdhan

Jazyk:

Väzba: Brožovaná

Vydavateľ: APress

Dostupnosť: Skladom u dodávateľa

Odosielame za 9-15 dní

37.68 €

Organizations spend huge resources in developing software that can perform the way a human does. Ima...

Informácie o knihe

Autor

Vaibhav Verdhan

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2021

Stránok

308

EAN

9781484266151

ISBN

1484266153

Enbook ID

33298318

Vydavateľ

APress

Hmotnosť

505

Rozmery

155 x 235 x 17

Kompletný popis

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. What You'll Learn

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

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