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jonhare committed Mar 19, 2024
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Expand Up @@ -60,9 +60,9 @@ The current working timetable/plan is below, and illustrates the topics we inten
| | 06-Mar | 46/2005 | TBC: Applications 2 | | | [Panopto link]() |
| | 08-Mar | 27/2001 | TBC: Applications 3 | | | [Panopto link]() |
| 7 | 11-Mar | 02/1085 | TBC: Applications 4 | | | [Panopto link]() |
| | 13-Mar | 46/2005 | Lecture: Auto-encoders, unsupervised learning and self-supervision | [vaes-handout.pdf](handouts/autoencoders-handouts.pdf) | [ Blog Post on Autoencoders](https://blog.keras.io/building-autoencoders-in-keras.html) | [Panopto Link]() |
| | 15-Mar | 27/2001 | Lecture: Differentiable relaxations (sampling, etc.) | [relaxation-handout.pdf](handouts/relaxation-handouts.pdf) | | [Panopto Link]() |
| 8 | 18-Mar | 02/1085 | Lecture: Generative Models Part 1: Differentiable Generator Networks | [gans-handout.pdf](handouts/gans-handouts.pdf) | | [Panopto Link]() |
| | 13-Mar | 46/2005 | Lecture: Auto-encoders, unsupervised learning and self-supervision | [vaes-handout.pdf](handouts/autoencoders-handouts.pdf) | [ Blog Post on Autoencoders](https://blog.keras.io/building-autoencoders-in-keras.html) | [Panopto Link](https://southampton.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=138b06bd-30d6-4a56-884e-b13200945204) |
| | 15-Mar | 27/2001 | Lecture: Differentiable relaxations (sampling, etc.) | [relaxation-handout.pdf](handouts/relaxation-handouts.pdf) | | [Panopto Link](https://southampton.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=c3a9d7df-a508-4b60-9f8c-b13400a4f137) |
| 8 | 18-Mar | 02/1085 | Lecture: Generative Models Part 1: Differentiable Generator Networks | [gans-handout.pdf](handouts/gans-handouts.pdf) | | [Panopto Link](https://southampton.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=e97f86bf-7b11-45c3-bdd2-b13700f737b4) |
| | 20-Mar | 46/2005 | Lecture: Generative Models Part 2: Variational Autoencoders | [gans-handout.pdf](handouts/gans-handouts.pdf) | [Autoencoding Variational Bayes](https://arxiv.org/abs/1312.6114) | [Panopto Link]() |
| | 22-Mar | 27/2001 | Lecture: Generative Models Part 3: Generative Adversarial Networks | [gans-handout.pdf](handouts/gans-handouts.pdf) | [GANs](https://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf), [DCGANs](https://arxiv.org/pdf/1511.06434.pdf) | [Panopto Link]() |
| 9 | 22-Apr | 02/1085 | Lecture: Attention. | [attention-handout.pdf](handouts/attention-handouts.pdf) | | [Panopto Link]() |
Expand Down Expand Up @@ -112,7 +112,7 @@ The full lab schedule is below:
| 5 | 27-Feb | Zepler L3 | [Implementing simple Neural Networks using PyTorch and Torchbearer](./labs/lab4/) | [Lab 4 Exercise](labex/lab4ex.pdf) |
| 6 | 05-Mar | Zepler L3 | [Implementing and training Convolutional Neural Networks using PyTorch and Torchbearer](./labs/lab5/) | [Lab 5 Exercise](labex/lab5ex.pdf) |
| 7 | 12-Mar | Zepler L3 | [Using pretrained models and transfer learning](./labs/lab6) | [Lab 6 Exercise](labex/lab6ex.pdf) |
| 8 | 19-Mar | Zepler L3 | [Recurrent Networks, Sequence Prediction and Embeddings](./labs/lab7) | <!-- [Lab 7 Exercise](labex/lab7ex.pdf) --> |
| 8 | 19-Mar | Zepler L3 | [Recurrent Networks, Sequence Prediction and Embeddings](./labs/lab7) | [Lab 7 Exercise](labex/lab7ex.pdf) |
| 9 | 23-Apr | Zepler L3 | [Autoencoders and Deep Generative Models](./labs/lab8) | <!-- [Lab 8 Exercise](labex/lab8ex.pdf) --> |
| 10 | 30-Apr | NO LAB | | |
| 11 | 07-May | NO LAB | | |
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