It takes the average reader 2 hours and 34 minutes to read Compact and Fast Machine Learning Accelerator for IoT Devices by Hantao Huang
Assuming a reading speed of 250 words per minute. Learn more
This book presents the latest techniques for machine learning based data analytics on IoT edge devices. A comprehensive literature review on neural network compression and machine learning accelerator is presented from both algorithm level optimization and hardware architecture optimization. Coverage focuses on shallow and deep neural network with real applications on smart buildings. The authors also discuss hardware architecture design with coverage focusing on both CMOS based computing systems and the new emerging Resistive Random-Access Memory (RRAM) based systems. Detailed case studies...
Compact and Fast Machine Learning Accelerator for IoT Devices by Hantao Huang is 149 pages long, and a total of 38,591 words.
This makes it 50% the length of the average book. It also has 47% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours and 30 minutes to read Compact and Fast Machine Learning Accelerator for IoT Devices aloud.
Compact and Fast Machine Learning Accelerator for IoT Devices is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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