Hands-On Session-
How to use Edge Computing on Real-Time Applications
What is Edge Computing?
- The new era of IoT(Internet of Things) the number of devices connected to the web is increasing by the million.
- The existence of such devices demands cloud-based services for data collection. But there is a higher need to get the data centers closer to the devices.
Machine Learning Models for the Edge
Some Considerations for Running Models on the Pi
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Memory Requirements -
Larger and more complicated models will require more memory -
Model Loading Time -
Models that require more memory will take a longer time to load -
Inference Time -
If your models take a long time for inference, then you might as well stick to the cloud
MobileNets
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Uses two global hyperparameters
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Helps to carry out tasks in a timely fashion on a computationally limited platform
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It has a low latency model
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It is built primarily from depthwise separable convolutions initially introduced and then which are subsequently used in the Inception Model
deck
By archana iyer
