June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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Evaluating models
We can evaluate the models from three different aspects:
- Learning/(re)training time
- Storage requirement
- Performance (accuracy)
The Mobilnet V1's retraining and validation process using the retrain.py module took less than an hour on a desktop (Intel Xenon CPU E5-1650 v3@3.5GHz and 32 GB RAM) with GPU support.
The storage/memory requirement of a model is an essential consideration for resource-constrained IoT devices. To evaluate the storage/memory footprint of the Mobilenet V1, we compared its storage requirement to another two similar networks' (the Incentive V3 and CIFAR-10 CNN) storage requirements. The following screenshot presents the storage requirements for the three models. As shown, Mobilenet V1 requires only ...
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