Fast and Accurate Deep Neural Networks Training
Offered By: Paul G. Allen School via YouTube
Course Description
Overview
Explore a colloquium presentation on fast and accurate deep neural networks training delivered by Yang You from UC Berkeley. Dive into the increasing popularity of supercomputers in leading AI companies and their potential for accelerating deep learning computations. Learn about the challenges of parallelizing deep learning and discover innovative optimizers like LARS and LAMB, which enable better scaling and higher accuracy in real-world applications. Gain insights into record-breaking Imagenet training speeds, reduced BERT training times, and state-of-the-art results on various benchmarks. Understand how these approaches are being utilized by major tech companies and their impact on distributed systems and supercomputers in the field of machine learning.
Syllabus
Allen School Colloquium: Yang You (UC Berkeley)
Taught by
Paul G. Allen School
Related Courses
Inference with Torch-TensorRT Deep Learning Prediction for Beginners - CPU vs CUDA vs TensorRTPython Simplified via YouTube AlexNet and ImageNet Explained
James Briggs via YouTube Analysis of Large-Scale Visual Recognition - Bay Area Vision Meeting
Meta via YouTube Introduction to Neural Networks for Computer Vision - Part I
University of Central Florida via YouTube Evaluating Neural Network Robustness - Targeted Attacks and Defenses
University of Central Florida via YouTube