David Parks will present on “Model compression techniques & CNN model architecture advances”.

Here is his description:

At next week’s SCML meeting I will be presenting primarily on model compression techniques, focused in detail on quantization / binarization, otherwise known as: How to run large neural network models in the real world – on devices with limited compute, memory, and power (such as mobile devices, raspberry pies, low power accelerators, etc).

To introduce the topic, I will also be covering some of the recent advances in model architecture design used in convolutional neural networks which haven’t been discussed previously.