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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)

  SYDE 522 – Machine Intelligence (Winter 2018, University of Waterloo) · 2019-03-19

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

  SYDE 522 – Machine Intelligence (Winter 2018, University of Waterloo) · 2019-03-15

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

  SYDE 522 – Machine Intelligence (Winter 2018, University of Waterloo) · 2019-03-14

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

  SYDE 522 – Machine Intelligence (Winter 2018, University of Waterloo) · 2019-03-12

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

  SYDE 522 – Machine Intelligence (Winter 2018, University of Waterloo) · 2019-03-10

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

  SYDE 522 – Machine Intelligence (Winter 2018, University of Waterloo) · 2019-03-10

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

  SYDE 522 – Machine Intelligence (Winter 2018, University of Waterloo) · 2019-03-10

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

  SYDE 522 – Machine Intelligence (Winter 2018, University of Waterloo) · 2019-03-09

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

  SYDE 522 – Machine Intelligence (Winter 2018, University of Waterloo) · 2019-03-07

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

  SYDE 522 – Machine Intelligence (Winter 2018, University of Waterloo) · 2019-03-07

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