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

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

Język: Angielski
Oprawa: Miękka
Wydawca: APress
Dostępność: Dostępna u dostawcy
Wysyłamy za 9-15 dni
170.32
Organizations spend huge resources in developing software that can perform the way a human does. Ima...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2021
strony
308
EAN
9781484266151
ISBN
1484266153
Enbook ID
33298318
Wydawca
Waga
505
Wymiary
155 x 235 x 17

Pełny opis

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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