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Lecture 01: Overview
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Lecture 02: Linear Model
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Lecture 03: Gradient Descent
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Lecture 04: Back-propagation and PyTorch autograd
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Lecture 05: Linear regression in PyTorch way
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Lecture 06: Logistic Regression
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Lecture 07: Wide & Deep
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Lecture 08: DataLoader
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Lecture 09: Softmax Classifier
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Lecture 10: Basic CNN
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Lecture 11: Advanced CNN
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Lecture 12: RNN
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Lecture 13: RNN II
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Lecture 14: Seq2Seq
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Lecture 15: NSML, Smartest ML Platform
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P-Epilogue: What's the next?
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template
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