Datum | Č.T. | S/L | Náplň | Učitel | Materiály |
---|---|---|---|---|---|
19-21.09.2022 | 1 | S | Intro: Python, Numpy, Pytorch intro - Home exercise! | SP + PS | NumPy & PyTorch tutorial |
26-28.09.2022 | 2 | L | Regression: Backpropagation in computational graphs | KZ | labs_02_regression.pdf template_for_students.zip HW1 - UPLOAD THE FULL ZIP TO BRUTE! (7b) lab2_recording |
03-05.10.2022 | 3 | S | Classification: 1D/2D, 0/1 MNIST classifier, derive logistic loss | PV | class1.tar |
10-12.10.2022 | 4 | L | Convolution: 1D/2D convolution, blurring filter, edge detection, ReLu, computational graphs | PV | HW2 (13b) 1D Conv video |
17-19.10.2022 | 5 | S | Optimizers: convergence rate, oscillations, diminishing gradients, | KZ | optimizers_student_template.py.zip |
24-26.10.2022 | 6 | L | Deep ConvNet I: typical structure, ImageNet classifier, using GPU | SP + PS | HW3: Image classification (13b) lab6.zip lab6_ref.zip |
31-02.11.2022 | 7 | S | Deep ConvNet II: Receptive fields, BatchNorm, Skip connections | JC | batch norm Araujo et al. |
07-09.11.2022 | 8 | L | Segmentation: Net surgery - exploit previously trained classifier. | SP + PS | HW4: Image segmentation (17b) lab8.zip |
14-16.11.2022 | 9 | S | Work on Homeworks (optional consultations upon an email request) | SP + PS | |
21-23.11.2022 | 10 | L | Work on Homeworks (optional consultations upon an email request) | SP + PS | |
28-30.11.2022 | 11 | S | GAN I: DCGAN for CelebA dataset | DC | lab_assignment HW5 (10b) |
05-07.12.2022 | 12 | L | GAN II: ??? | DC | |
12-14.12.2022 | 13 | S | Advanced backpropagation methods: Backprop through optimization layer and/or RL | KZ | |
09-11.01.2023 | 15 | S | Presentation of semestral works and feedback | KZ |