Deep Learning on Embedded Systems - A Hands-On Approach Using Jet...
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- Type E-Books
- Language English
- Total size 25.9 MB
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- Date uploaded 1 week ago
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Infohash : 769842DE72B97F8B9A41FE99640449E9508BDF93
Deep Learning on Embedded Systems: A Hands-On Approach Using Jetson Nano and Raspberry Pi (True/Retail PDF)
https://WebToolTip.com
English | April 15th, 2025 | ISBN: 1394269269 | 259 pages | True PDF | 25.92 MB
Comprehensive, accessible introduction to deep learning for engineering tasks through Python programming, low-cost hardware, and freely available software
Deep Learning on Embedded Systems is a comprehensive guide to the practical implementation of deep learning for engineering tasks through computers and embedded hardware such as Raspberry Pi and Nvidia Jetson Nano. After an introduction to the field, the book provides fundamental knowledge on deep learning, convolutional and recurrent neural networks, computer vision, and basics of Linux terminal and docker engines. This book shows detailed setup steps of Jetson Nano and Raspberry Pi for utilizing essential frameworks such as PyTorch and OpenCV. GPU configuration and dependency installation procedure for using PyTorch is also discussed allowing newcomers to seamlessly navigate the learning curve.
Files:
[ WebToolTip.com ] Deep Learning on Embedded Systems - A Hands-On Approach Using Jetson Nano and Raspberry Pi (True - Retail PDF)- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here !
- Bonus Resources.txt (0.1 KB)
- DeepLearningonEmbeddedSystems-TariqM.Arif;.pdf (25.9 MB)
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