CS231N - Convolutional Neural Networks
15 videos • 166,163 views • by MachineLearner
1
CS231n Lecture 1 - Introduction and Historical Context
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2
CS231n Lecture 2 - Data driven approach, kNN, Linear Classification 1
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3
CS231n Lecture 3 - Linear Classification 2, Optimization
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4
CS231n Lecture 4 - Backpropagation, Neural Networks
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5
CS231n Lecture 5 - Neural Networks Part 2
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CS231n Lecture 6 - Neural Networks Part 3 Intro to ConvNets
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CS231n Lecture 7 - Convolutional Neural Networks
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8
CS231n Lecture 8 - Localization and Detection
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CS231n Lecture 9 - Visualization, Deep Dream, Neural Style, Adversarial Examples
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10
CS231n Lecture 10 - Recurrent Neural Networks, Image Captioning, LSTM
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11
CS231n Lecture 11 - ConvNets in practice
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12
CS231n Lecture 12 - Deep Learning libraries
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13
CS231n Lecture 13 - Segmentation, soft attention, spatial transformers
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14
CS231n Lecture 15 - Invited Talk by Jeff Dean
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15
CS231n Lecture 14 - Videos and Unsupervised Learning
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