YoVDO

Quantization Courses

Building a Mobile AI Platform at Facebook - F8 2019
Meta via YouTube
Power Efficient Neural Network Based Hardware Architecture for Biomedical Applications
tinyML via YouTube
Continual On-Device Learning on Multi-Core RISC-V Microcontrollers
tinyML via YouTube
Optimizing Data-Flow in Binary Neural Networks
tinyML via YouTube
Autonomous Nano-UAVs: An Extreme Edge Computing Case
tinyML via YouTube
TinyML Auto ML Deep Dive: GAPflow - From TFLite and ONNX to Optimized C Code
tinyML via YouTube
On-Device Learning Under 256KB Memory - Challenges and Solutions for IoT Devices
tinyML via YouTube
On-Device Speech Models Optimization and Deployment for Mobile Hardware
tinyML via YouTube
Power-of-Two Quantization for Low Bitwidth and Hardware Compliant Neural Networks
tinyML via YouTube
TinyML Talks Germany - AutoFlow - An Open Source Framework to Automatically Implement Neural
tinyML via YouTube
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