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Artificial neural networks
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Selected sections from Pattern Recognition and Machine Learning (Bishop)
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Exam 2018
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February 22 - Simple Perceptrons for Classification
Lecture 1
File
Lecture 1 - comments
File
Exercises 1
File
Blackboard 1
File
March 1 - Backprop and Multilayer Perceptron
Lecture 2
File
Lecture 2 - comments
File
Exercises 2
File
Laboratory - Environment setup and hands on Keras
File
Laboratory - Solutions
File
Blackboard 2
File
March 8 - Statistical Classification by deep networks
Lecture 3
File
Lecture 3 - comments
File
Exercises 3
File
Blackboard 3
File
March 15 - Regularization and Tricks of the Trade in deep networks
Lecture 4
File
Lecture 4 - comments
File
Links to lecture video recording
Page
Exercises 4
File
Blackboard 4
File
Miniproject 1 | Feedforward networks and image classification
File
March 22 - Error landscape and optimization methods for deep networks
Lecture 5
File
Lecture 5 - comments
File
Exercises 5
File
Blackboard 5
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March 29 - Recurrent Neural Networks
Lecture 6
File
Lecture 6 - comments
File
Exercise 6
File
Blackboard 6
File
Presentation - BachProp
File
April 5 - Reinforcement Learning and SARSA
Lecture 7
File
Lecture 7 - comments
File
Exercises 7
File
Blackboard 7
File
April 20 - Convolutional Neural Networks
Lecture 8
File
Exercises 8
File
Blackboard 8
File
April 19,26 - Easter break, no class
Miniproject 2 | Recurrent
File
Miniproject 3 | Landing on the Moon
File
May 3 - TD Learning and Continuous Space
Lecture 9
File
Lecture 9 - comments
File
Exercises 9
File
Blackboard 9
File
May 10 - Policy gradient algorithms
Lecture 10
File
Exercises 10
File
Blackboard 10
File
May 17 - Use Cases of Deep Reinforcement Learning
Lecture 11
File
Exercises 11
File
May 24 - Deep Reinforcement Learning
Lecture 12
File
Exercises 12
File
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