The project: Company A developed a magical speech processing Neural Network model, model S, and would like to deploy it onto a battery powered wearable device. The tasks are split as MLSP.ai to deliver a deployment friendly implementation of model S and company A is responsible for model training and final product integration. Starting point: Model S fully developed in PyTorch, verified for streaming, in floating-point numerical format. Target wearable platform, well prove

A novel solution for Edge AI models deployment that addresses major pain points: high overhead, model IP protection and system...

This post is a quick experience sharing about RNN. When thinking about employing Recurrent Neural Network (RNN) in our model, LSTM is...