Month: September 2018

Edge Inference with Amazon DeepLens

I received my Amazon DeepLens yesterday. With advances in deep neural networks come higher computing power and memory requirement, not just during training but also at inference (using the trained model to make predictions). It is not always possible (or desirable) in real-world applications to send data to the cloud constantly for inference. To make […]