June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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Machine learning/DL perspectives
Recently, machine learning and DL techniques are being used in various application domains to make informed decisions. However, there are a few challenges that are specific to machine learning and DL. These are as follows:
- The lack of Large IoT datasets: Many IoT application domains are adopting DL for their data analysis. Unfortunately, most of these existing works, including this book, rely on datasets for model training and testing that are not from IoT applications and/or real-life applications. One of the consequences of this is that many IoT-specific issues are not significantly reflected in the models. For example, IoT devices are more prone to hardware failure than general-purpose computing devices. ...
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