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SYDE 522 – Machine Intelligence (Winter 2018, University of Waterloo)

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Machine Intelligence - Lecture 14 (Overfitting in Deep Learning, Reinforcement Learning)

Mar 19, 2019 · Kimia Lab

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Machine Intelligence - Lecture 13 (Convolutional Neural Networks, CNNs)

Mar 15, 2019 · Kimia Lab

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Machine Intelligence - Lecture 12 (Problems of Learning, RBMs, Autoencoders)

Mar 14, 2019 · Kimia Lab

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Machine Intelligence - Lecture 11 (Backpropagation, Topology, Overfitting, Autoencoders)

Mar 12, 2019 · Kimia Lab

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Machine Intelligence - Lecture 10 (Regression, Neurons, Perceptron, Learning)

Mar 10, 2019 · Kimia Lab

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Machine Intelligence - Lecture 9 (Cluster Validity, Probability, Fuzzy Sets, FCM)

Mar 10, 2019 · Kimia Lab

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Machine Intelligence - Lecture 8 (SOM learning, Support Vector Machines)

Mar 10, 2019 · Kimia Lab

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Machine Intelligence - Lecture 7 (Clustering, k-means, SOM)

Mar 9, 2019 · Kimia Lab

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Machine Intelligence - Lecture 6 (Validation, Overfitting, Underfitting)

Mar 7, 2019 · Kimia Lab

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Machine Intelligence - Lecture 5 (Computer Vision, Features, Fisher Vector, VLAD)

Mar 7, 2019 · Kimia Lab

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