Explore the revolutionary impact of AlexNet and ImageNet on deep learning in this comprehensive 36-minute video. Delve into the history of the 2012 ImageNet challenge, where AlexNet's groundbreaking performance marked a turning point for artificial intelligence. Learn about the creation and significance of the ImageNet dataset, the challenges faced by early deep learning models, and the technical innovations that made AlexNet successful. Follow along with a PyTorch implementation, including data preprocessing and class prediction techniques. Gain insights into the synergy between large datasets and novel neural network architectures that paved the way for modern AI advancements.
Overview
Syllabus
Intro
Birth of Deep Learning
ImageNet
Lack of Readiness for Big Datasets
ImageNet Challenge ILSVRC
AlexNet
PYTORCH IMPLEMENTATION
Data Preprocessing
Class Prediction with AlexNet
Goldfish Results
Closing Notes
Taught by
James Briggs
