VGGNet
Software / App
Another deep convolutional neural network architecture used in computer vision, discussed alongside ResNet in the context of ensemble methods.
Mentioned in 3 videos
Save the 3 videos on VGGNet to your own pod.
Sign up free to keep building your knowledge base on VGGNet as more episodes are added.
Videos Mentioning VGGNet
MIT 6.S093: Introduction to Human-Centered Artificial Intelligence (AI)
Lex Fridman
Another deep convolutional neural network architecture used in computer vision, discussed alongside ResNet in the context of ensemble methods.
MIT 6.S094: Computer Vision
Lex Fridman
A convolutional neural network architecture known for its depth and uniform structure, used in the ImageNet challenge.
Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)
Lex Fridman
A convolutional neural network architecture from 2014 characterized by its simplicity and homogeneity, using only 3x3 convolutions and 2x2 pooling, achieving top performance on ImageNet.