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课程目录
CS231n Winter 2016 Lecture 1 Introduction and Historical Context.mp4
CS231n Winter 2016 Lecture 2 Data-driven approach kNN Linear Classification 1.mp4
CS231n Winter 2016 Lecture 3 Linear Classification 2 Optimization.mp4
CS231n Winter 2016 Lecture 4 Backpropagation Neural Networks 1.mp4
CS231n Winter 2016 Lecture 5 Neural Networks Part 2.mp4
CS231n Winter 2016 Lecture 6 Neural Networks Part 3 Intro to ConvNets.mp4
CS231n Winter 2016 Lecture 7 Convolutional Neural Networks.mp4
CS231n Winter 2016 Lecture 8 Localization and Detection.mp4
CS231n Winter 2016 Lecture 9 Visualization Deep Dream Neural Style Adversarial Examples.mp4
CS231n Winter 2016 Lecture 10 Recurrent Neural Networks Image Captioning LSTM.mp4
CS231n Winter 2016 Lecture 11 ConvNets in practice.mp4
CS231n Winter 2016 Lecture 12 Deep Learning libraries.mp4
CS231n Winter 2016 Lecture 13 Segmentation soft attention spatial transformers.mp4
CS231n Winter 2016 Lecture 14 Videos and Unsupervised Learning.mp4
CS231n Winter 2016 Lecture 15 Invited Talk by Jeff Dean.mp4
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发表于 2017-6-12 20:53:27
发表于 2017-6-13 09:37:34
