CS231n Winter 2016: Lecture 9: Visualization, Deep Dream, Neural Style, Adversarial Examples

Stanford Winter Quarter 2016 class: CS231n: Convolutional Neural Networks for Visual Recognition. Lecture 9. Get in touch on Twitter @cs231n, or o...

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4 years ago 01:14:50 1

CS231n Winter 2016: Lecture 15: Invited Talk by Jeff Dean

4 years ago 01:17:36 1

CS231n Winter 2016: Lecture 14: Videos and Unsupervised Learning

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

4 years ago 01:21:07 1

CS231n Winter 2016: Lecture 12: Deep Learning libraries

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CS231n Winter 2016: Lecture 11: ConvNets in practice

4 years ago 01:09:54 1

CS231n Winter 2016: Lecture 10: Recurrent Neural Networks, Image Captioning, LSTM

4 years ago 01:18:20 1

CS231n Winter 2016: Lecture 9: Visualization, Deep Dream, Neural Style, Adversarial Examples

4 years ago 01:04:57 1

CS231n Winter 2016: Lecture 8: Localization and Detection

4 years ago 01:19:01 1

CS231n Winter 2016: Lecture 7: Convolutional Neural Networks

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CS231n Winter 2016: Lecture 6: Neural Networks Part 3 / Intro to ConvNets

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CS231n Winter 2016: Lecture 5: Neural Networks Part 2

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CS231n Winter 2016: Lecture 4: Backpropagation, Neural Networks 1

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CS231n Winter 2016: Lecture 3: Linear Classification 2, Optimization

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CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1

6 years ago 01:19:08 6

CS231n Winter 2016: Lecture1: Introduction and Historical Context