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

Andrej Karpathy · Advanced ·📐 ML Fundamentals ·10y ago

Stanford Winter Quarter 2016 class: CS231n: Convolutional Neural Networks for Visual Recognition. Lecture 3. Get in touch on Twitter @cs231n, or on Reddit /r/cs231n.

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Large-scale Video Classification with Convolutional Neural Networks, CVPR 2014

Large-scale Video Classification with Convolutional Neural Networks, CVPR 2014

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CS231n Winter 2016: Lecture1: Introduction and Historical Context

CS231n Winter 2016: Lecture1: Introduction and Historical Context

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

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

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

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

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

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

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CS231n Winter 2016: Lecture 5: Neural Networks Part 2

CS231n Winter 2016: Lecture 5: Neural Networks Part 2

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

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

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CS231n Winter 2016: Lecture 7: Convolutional Neural Networks

CS231n Winter 2016: Lecture 7: Convolutional Neural Networks

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CS231n Winter 2016: Lecture 8: Localization and Detection

CS231n Winter 2016: Lecture 8: Localization and Detection

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

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

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

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

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CS231n Winter 2016: Lecture 11: ConvNets in practice

CS231n Winter 2016: Lecture 11: ConvNets in practice

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CS231n Winter 2016: Lecture 12: Deep Learning libraries

CS231n Winter 2016: Lecture 12: Deep Learning libraries

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

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

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CS231n Winter 2016: Lecture 14: Videos and Unsupervised Learning

CS231n Winter 2016: Lecture 14: Videos and Unsupervised Learning

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

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

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