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(Old) Lecture Series | Introduction to Deep Learning, 11-785, Fall 2019

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Lecture 13 | (2/5) Recurrent Neural Networks

Oct 13, 2019 · Carnegie Mellon University Deep Learning

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Lecture 12 | (1/5) Recurrent Neural Networks

Oct 8, 2019 · Carnegie Mellon University Deep Learning

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Lecture 11 | (3/3) Convolutional Neural Networks

Oct 4, 2019 · Carnegie Mellon University Deep Learning

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Lecture 10 | (2/3) Convolutional Neural Networks

Oct 2, 2019 · Carnegie Mellon University Deep Learning

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Lecture 8 | Batch Normalization, Dropout and other Regularization methods

Sep 28, 2019 · Carnegie Mellon University Deep Learning

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Lecture 9 | (1/3) Convolutional Neural Networks

Sep 26, 2019 · Carnegie Mellon University Deep Learning

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Lecture 7 | Acceleration, Regularization, and Normalization

Sep 23, 2019 · Carnegie Mellon University Deep Learning

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Lecture 6 | Convergence, Loss Surfaces, and Optimization

Sep 18, 2019 · Carnegie Mellon University Deep Learning

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The Neural Basis of Vision Through Convolutional Neural Networks by Mike Tarr

Sep 16, 2019 · Carnegie Mellon University Deep Learning

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Lecture 5 | Convergence, Learning Rates, and Gradient Descent

Sep 11, 2019 · Carnegie Mellon University Deep Learning

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