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Deep Neural Networks

DRAFT

Week 1: Generalization and Neural Networks

Lecturer: Neil D. Lawrence
Room: LT1
Venue: Computer Laboratory, William Gates Building
Date: January 26, 2021

Week 1: Generalization and Neural Networks

Lecturer: Neil D. Lawrence
Room: TBA
Venue: Computer Laboratory, William Gates Building

Week 2: Optimization: Stochastic Gradient Descent and ADAM

Lecturer: Neil D. Lawrence
Venue: Computer Laboratory, William Gates Building, Room TBA

Week 2: Optimization: Stochastic Gradient Descent and ADAM

Lecturer: Neil D. Lawrence
Venue: Computer Laboratory, William Gates Building, Room TBA

Week 3: Automatic Differentiation

Lecturer: Ferenc Huszár, Nic Lane, Neil D. Lawrence
Room: TBA
Venue: Computer Laboratory, William Gates Building

Week 3: Automatic Differentiation

Lecturer: Ferenc Huszár, Nic Lane, Neil D. Lawrence
Room: TBA
Venue: Computer Laboratory, William Gates Building

Week 4: Convolutional Neural Networks

Lecturer: Ferenc Huszár, Nic Lane, Neil D. Lawrence
Room: TBA
Venue: Computer Laboratory, William Gates Building

Week 4: Convolutional Neural Networks

Lecturer: Ferenc Huszár, Nic Lane, Neil D. Lawrence
Room: TBA
Venue: Computer Laboratory, William Gates Building

Week 5: Recurrent Neural Networks

Lecturer: Ferenc Huszár, Nic Lane, Neil D. Lawrence
Room: TBA
Venue: Computer Laboratory, William Gates Building

Week 5: Recurrent Neural Networks

Lecturer: Ferenc Huszár, Nic Lane, Neil D. Lawrence
Room: TBA
Venue: Computer Laboratory, William Gates Building

Special Topics

The lectures for weeks 5 to 8 will focus on “special topics”. Some of these will be given by guest lecturers and therefore availability will be dependent on availability of guest lecturers.

Topic: A

Title: Auto Encoders and Generative Adversarial Networks

Lecturer: Ferenc Huszár, Nic Lane, Neil D. Lawrence

Venue: Computer Laboratory, William Gates Building

Topic: B

Title: Hardware Implementations

Lecturer: Ferenc Huszár, Nic Lane, Neil D. Lawrence

Venue: Computer Laboratory, William Gates Building

Topic: C

Title: Uncertainty and Bayesian Modelling

Lecturer: Ferenc Huszár, Nic Lane, Neil D. Lawrence

Venue: Computer Laboratory, William Gates Building

Topic: D

Title: Reinforcement Learning

Lecturer: Ferenc Huszár, Nic Lane, Neil D. Lawrence

Venue: Computer Laboratory, William Gates Building

Topic: E

Title: Transfer Learning and Meta-Learning

Lecturer: Ferenc Huszár, Nic Lane, Neil D. Lawrence

Venue: Computer Laboratory, William Gates Building

This site last compiled Wed, 12 Aug 2020 14:02:39 +0000
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