- We will send in 10–14 business days.
/images/books/12161037/9781774638705.jpg)
- Publisher: Apple Academic Press
- ISBN-10: 1774638703
- ISBN-13: 9781774638705
- Format: 15.2 x 22.9 x 1.8 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Deep Learning in Visual Computing and Signal Processing (e-book) (used book) | bookbook.eu
Reviews
Description
An enlightening amalgamation of deep learning concepts with visual computing and signal processing applications, this new volume covers the fundamentals and advanced topics in designing and deploying techniques using deep architectures and their application in visual computing and signal processing.
The volume first lays out the fundamentals of deep learning as well as deep learning architectures and frameworks. It goes on to discuss deep learning in neural networks and deep learning for object recognition and detection models. It looks at the various specific applications of deep learning in visual and signal processing, such as in biorobotics, for automated brain tumor segmentation in MRI images, in neural networks for use in seizure classification, for digital forensic investigation based on deep learning, and more.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 18d.08:06:44
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: Apple Academic Press
- ISBN-10: 1774638703
- ISBN-13: 9781774638705
- Format: 15.2 x 22.9 x 1.8 cm, hardcover
- Language: English English
An enlightening amalgamation of deep learning concepts with visual computing and signal processing applications, this new volume covers the fundamentals and advanced topics in designing and deploying techniques using deep architectures and their application in visual computing and signal processing.
The volume first lays out the fundamentals of deep learning as well as deep learning architectures and frameworks. It goes on to discuss deep learning in neural networks and deep learning for object recognition and detection models. It looks at the various specific applications of deep learning in visual and signal processing, such as in biorobotics, for automated brain tumor segmentation in MRI images, in neural networks for use in seizure classification, for digital forensic investigation based on deep learning, and more.
Reviews