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: 224.74 RON
Availability: InStock

Autor: Vaibhav Verdhan

Limbă:

Legare: Carte broșată

Editura: APress

Disponibilitate: În depozitul extern

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224.74 lei

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

Informații despre carte

Autor

Vaibhav Verdhan

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2021

Pagini

308

EAN

9781484266151

ISBN

1484266153

Enbook ID

33298318

Editura

APress

Greutate

505

Dimensiuni

155 x 235 x 17

Descriere completă

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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