Deep Learning on Embedded Systemsi by Tariq M. Arif (.ePUB)
File Size: 66 MB
Deep Learning on Embedded Systems: A Hands-On Approach Using Jetson Nano and Raspberry Pi by Tariq M. Arif
Requirements: .ePUB reader, 66 MB
Overview: 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.
Genre: Non-Fiction > Tech & Devices
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