YoVDO

EfficientML.ai: Quantization Part II - Lecture 6

Offered By: MIT HAN Lab via YouTube

Tags

Quantization Courses Machine Learning Courses Neural Networks Courses Hardware Acceleration Courses TensorRT Courses Model Compression Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Dive into the second part of quantization techniques in this recorded lecture from MIT's 6.5940 course on Efficient Machine Learning. Explore advanced concepts and practical applications of quantization methods as presented by Prof. Song Han. Gain insights into optimizing machine learning models for improved efficiency and performance. Access accompanying slides at efficientml.ai to enhance your understanding of the material covered in this 69-minute session.

Syllabus

EfficientML.ai Lecture 6 - Quantization Part II (MIT 6.5940, Fall 2024, Zoom recording)


Taught by

MIT HAN Lab

Related Courses

TensorFlow Lite for Edge Devices - Tutorial
freeCodeCamp Few-Shot Learning in Production
HuggingFace via YouTube TinyML Talks Germany - Neural Network Framework Using Emerging Technologies for Screening Diabetic
tinyML via YouTube TinyML for All: Full-stack Optimization for Diverse Edge AI Platforms
tinyML via YouTube TinyML Talks - Software-Hardware Co-design for Tiny AI Systems
tinyML via YouTube