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

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CS231n Winter 2016 - Lecture 8 - Localization and Detection

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CS231n Winter 2016 - Lecture 11 - ConvNets in practice

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CS231n Winter 2016 - Lecture 5 - Neural Networks Part 2

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CS231n Winter 2016 - Lecture 7 - Convolutional Neural Networks

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CS231n Winter 2016 - Lecture 1 - Introduction and Historical Context

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

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

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

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

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CS231n Winter 2016: Lecture1: Introduction and Historical Context

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

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CS231n Winter 2016: Lecture 11: ConvNets in practice

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CS231n Winter 2016: Lecture 8: Localization and Detection

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

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CS231n Winter 2016: Lecture 12: Deep Learning libraries

5 years ago 01:19:01 1

CS231n Winter 2016: Lecture 7: Convolutional Neural Networks

8 years ago 01:14:49 14

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

4 years ago 01:11:23 1

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

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CS231n Winter 2016: Lecture 5: Neural Networks Part 2

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