| 0 |
9 January 2020 |
Introduction (PDF) |
| 1 |
14 January 2020 |
Overview of Machine Learning and Imaging (PDF) |
| 2 |
16 January 2020 |
Continuous Mathematics Review (PDF) |
| 3 |
16 January 2020 |
From Continuous to Discrete Mathematics (PDF) |
| 4 |
21 January 2020 |
Discrete Functions (PDF) |
| 5 |
23 January 2020 |
Introduction to Optimization (PDF) |
| 6 |
29 January 2020 |
Ingredients for Machine Learning (PDF) |
| 7 |
31 January 2020 |
Linear and Logistic Classification (PDF) |
| 8 |
4 February 2020 |
“Deep” Networks: theoretical motvation (PDF) |
| 9 |
6,11 February 2020 |
Convolutional Neural Networks (PDF) |
| 10 |
11,13 February 2020 |
Backpropagation in Deep Networks (PDF) |
| 11 |
18 February 2020 |
Tools for your Deep Learning Toolbox (PDF) |
| 12 |
20 February 2020 |
CNN implementation and visualization (PDF) |
| 13 |
25 February 2020 |
CNN visualization tools and extensions (PDF) |
| 14a |
27 February 2020 |
CNNs for object detection and segmentation(PDF) |
| 14b |
3 March 2020 |
CNNs as Autoencoders (PDF) |
| 15 |
5 March 2020 |
Introduction to Physical Layers in Machine Learning (PDF) |
| 16 |
24 March 2020 |
Introduction to Fourier Optics (PDF) |
| 17 |
26 March 2020 |
Physical Layers with Coherent Fields (PDF) |