| 0 |
27 August 2019 |
Introduction (PDF) |
| 1 |
29 August 2019 |
Overview of Machine Learning and Imaging (PDF) |
| 2 |
29 September 2019 |
Continuous Mathematics Review (PDF) |
| 3 |
3 September 2019 |
From Continuous to Discrete Mathematics (PDF) |
| 4 |
5 September 2019 |
Discrete Functions (PDF) |
| 5 |
10 September 2019 |
Introduction to Optimization (PDF) |
| 6 |
12 September 2019 |
Ingredients for Machine Learning (PDF) |
| 7 |
17-19 September 2019 |
Linear and Logistic Classification (PDF) |
| 8 |
24 September 2019 |
“Deep” Networks: theoretical motvation (PDF) |
| 9 |
26 Sept, 1 Oct 2019 |
Convolutional Neural Networks (PDF) |
| 10 |
3 Oct 2019 |
Backpropagation in Deep Networks (PDF) |
| 11 |
8 Oct 2019 |
Tools for your Deep Learning Toolbox (PDF) |
| 12 |
10 Oct 2019 |
CNN implementation and visualization (PDF) |
| 13 |
17 Oct 2019 |
CNN visualization tools and extensions (PDF) |
| 14a |
22 Oct 2019 |
CNNs for object detection and segmentation(PDF) |
| 14b |
24 Oct 2019 |
CNNs as Autoencoders (PDF) |
| 15 |
24 Oct 2019 |
Introduction to Physical Layers in Machine Learning (PDF) |
| 16 |
29 Oct 2019 |
Examples of Physical Layers in CNNs (PDF) |
| 17 |
31 Oct 2019 |
Introduction to Fourier Optics (PDF) |
| 18 |
5 Nov 2019 |
Physical Layers with Coherent Fields (PDF) |
| 19 |
7 Nov 2019 |
Physical Layer Guidelines and Implementations (PDF) |
| 20 |
12 Nov 2019 |
Published Physical CNN Examples and Ethics (PDF) |
| 21 |
14 Nov 2019 |
Recurrent Neural Networks (PDF) |
| 22 |
19 Nov 2019 |
Reinforcement Learning (PDF) |