Deep Learning Series#2: ML & Neural Architecture Search for Microcontrollers & Edge Devices Speaker: Swapnil Sayan Saha PhD student, University of California – Los Angeles (UCLA) 19/3/2021 ML for TinyML devices (e.g., Arduino & ARM microcontrollers). General deep-learning pipeline in Python. How to conduct hyperparameter tuning and neural architecture search regularized by device constraints such as memory, latency and energy usage. Lightweight neural architectures in the field beyond LSTMs or CNNs, and how to implement them in Python. Sample python notebooks (Collab/Jupyter) will be shared with everyone. Organized by: IEEE Comp Soc. BD Section Moderator: Md Atiqur Rahman Ahad, Osaka U | U of Dhaka
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