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Class 1. Linear regression

[STA511] Regression Analysis 1

Class 8. Summary of Deep Learning

Model examination is available from above link. The last class solves previous y...

Class 7. Deep Generative Models

Generative models are simply repeatedly updated model. Unlike discriminative mod...

Class 6. Recurrent Neural Network

Recurrent Neural Network (RNN) is a neural network model that uses repeated proc...

Class 5. Image recognition

As shown by RBM’s autoencoder versions, if the neural network is well-desi...

Class 4. Boltzmann machine

Constructing an Autoencoder model looks like an art, if not computationally heav...

Class 3. MCMC and Bayesian extensions

Bayesian estimation tactics can be used to replace arbitrary construction of dee...

Class 2. Autoencoder

Feed forward and back propagation have significant advantage in terms of speed o...

Class 1. Introduction to deep learning

As was discussed in [COM502] Machine Learning, the introduction to deep learning...

[COM506] Data Management

[COM505] Data Visualization

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