Dates: 4th April to 8th April 2022, Every Day 09.00 – 13.00
Day 1: Classical Machine Learning
| 09:00 – 09:30 | Introduction to Machine Learning |
| 09:30 – 10:15 | Lecture – Supervised Learning Techniques |
| 10:15 – 11:15 | Hands-On Practical |
| 11:15 – 11:45 | Break |
| 11:45 – 13:00 | Lecture – Unsupervised Learning Techniques |
Day 2: Deep Neural Networks
| 09:00 – 09:45 | Lecture – Neural Networks |
| 09:45 – 10:45 | Hands-On Practical |
| 10:45 – 11:15 | Break |
| 11:15 – 12:00 | Neural Networks (Backprop) |
| 12:00 – 13:00 | Hands-On Practical |
Day 3: Image Processing
| 09:00 – 09:45 | Lecture – Convoluted Neural Networks |
| 09:45 – 10:45 | Hands-On Practical |
| 10:45 – 11:15 | Break |
| 11:15 – 12:00 | Lecture – Autoencoder |
| 12:00 – 13:00 | Hands-On Practical |
Day 4: Generative Models
| 09:00 – 09:45 | Introduction to Generative Models & VAE |
| 09:45 – 10:30 | Hands-On Practical |
| 10:30 – 11:00 | Break |
| 11:00 – 11:45 | Lecture – Generative Adversarial Networks (GANs) |
| 11:45 – 12:30 | Hands-On Practical |
| 12:30 – 13:00 | Lecture – Debugging/ Exploring |
Helping you prepare for the future
