CS231n Winter 2016: Lecture 13: Segmentation, soft attention, spatial transformers

Andrej Karpathy · Intermediate ·🧠 Large Language Models ·10y ago
Stanford Winter Quarter 2016 class: CS231n: Convolutional Neural Networks for Visual Recognition. Lecture 13. Get in touch on Twitter @cs231n, or on Reddit /r/cs231n. Our course website is http://cs231n.stanford.edu/
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1 Large-scale Video Classification with Convolutional Neural Networks, CVPR 2014
Large-scale Video Classification with Convolutional Neural Networks, CVPR 2014
Andrej Karpathy
 2 ConvNet forward pass demo
ConvNet forward pass demo
Andrej Karpathy
 3 CS231n Winter 2016: Lecture1: Introduction and Historical Context
CS231n Winter 2016: Lecture1: Introduction and Historical Context
Andrej Karpathy
 4 CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1
CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1
Andrej Karpathy
 5 CS231n Winter 2016: Lecture 3: Linear Classification 2, Optimization
CS231n Winter 2016: Lecture 3: Linear Classification 2, Optimization
Andrej Karpathy
 6 CS231n Winter 2016: Lecture 4: Backpropagation, Neural Networks 1
CS231n Winter 2016: Lecture 4: Backpropagation, Neural Networks 1
Andrej Karpathy
 7 CS231n Winter 2016: Lecture 5: Neural Networks Part 2
CS231n Winter 2016: Lecture 5: Neural Networks Part 2
Andrej Karpathy
 8 CS231n Winter 2016: Lecture 6: Neural Networks Part 3 / Intro to ConvNets
CS231n Winter 2016: Lecture 6: Neural Networks Part 3 / Intro to ConvNets
Andrej Karpathy
 9 CS231n Winter 2016: Lecture 7: Convolutional Neural Networks
CS231n Winter 2016: Lecture 7: Convolutional Neural Networks
Andrej Karpathy
 10 CS231n Winter 2016: Lecture 8: Localization and Detection
CS231n Winter 2016: Lecture 8: Localization and Detection
Andrej Karpathy
 11 CS231n Winter 2016: Lecture 9: Visualization, Deep Dream, Neural Style, Adversarial Examples
CS231n Winter 2016: Lecture 9: Visualization, Deep Dream, Neural Style, Adversarial Examples
Andrej Karpathy
 12 CS231n Winter 2016: Lecture 10: Recurrent Neural Networks, Image Captioning, LSTM
CS231n Winter 2016: Lecture 10: Recurrent Neural Networks, Image Captioning, LSTM
Andrej Karpathy
 13 CS231n Winter 2016: Lecture 11: ConvNets in practice
CS231n Winter 2016: Lecture 11: ConvNets in practice
Andrej Karpathy
 14 CS231n Winter 2016: Lecture 12: Deep Learning libraries
CS231n Winter 2016: Lecture 12: Deep Learning libraries
Andrej Karpathy
 ▶ CS231n Winter 2016: Lecture 13: Segmentation, soft attention, spatial transformers
CS231n Winter 2016: Lecture 13: Segmentation, soft attention, spatial transformers
Andrej Karpathy
 16 CS231n Winter 2016: Lecture 14: Videos and Unsupervised Learning
CS231n Winter 2016: Lecture 14: Videos and Unsupervised Learning
Andrej Karpathy
 17 CS231n Winter 2016: Lecture 15: Invited Talk by Jeff Dean
CS231n Winter 2016: Lecture 15: Invited Talk by Jeff Dean
Andrej Karpathy
 18 Introducing arxiv-sanity
Introducing arxiv-sanity
Andrej Karpathy
 19 Pong AI with Policy Gradients
Pong AI with Policy Gradients
Andrej Karpathy

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