Grades The final grade is computed as a combination of (1) home assignments (2) Final project. Students must pass both to pass the course. Grade = 0.5 * Home Assignments + 0.5 Final project.
Home assignments policies: Students are allowed to solve assignments in pairs. They must write the solutions themselves and submit each assignment as individuals. If you have collaborated when working on an assignment, mark clearly the name of the people you collaborated with.
How to submit: Submit your colab notebook/a pdf with your
written answers in the designated link on the Moodle course page.
Acceptable format of written answers: PDF. Acceptable format of codes:
colab notebook. If you install any package as part of your code,
please include this in the colab notebook (using the `!pip
install
Late submissions policy : Each late day results in a 5 points penalty, and the assignment will not be graded if submitted after 4 days or more. Coding answers that will not be submitted in a colab notebook format will not be checked and their grade will be zero.
| Mon | 2021-10-11 | Gal | Intro: Learning, generalization, Regularization | Slides | Video | Video2 |
| Tue | 2021-10-12 | Gal | Linear classification, logistic regression, Perceptron | - | Video | Video2 |
| Mon | 2021-10-18 | Gal | GD, The Perceptron Algorithm, Perceptron as SGD. | Slides | Video | Video2 |
| Mon | 2021-10-25 | Gal | MLP, Multiclass classifiers | Slides | Video | |
| Tue | 2021-10-26 | Gal | Max-Margin classification, SVM | 1 2 (Sontag) | Youtube | |
| Mon | 2021-11-01 | Gal | Duality, dual SVM, kernels (advanced class) | Slides(Sontag) | Youtube | |
| Tue | 2021-11-02 10AM | Aviv | Perceptron & SGD | Slides | ||
| Tue | 2021-11-02 2PM | Aviv | MLE Logistic regression | Slides | ||
| Tue | 2021-11-08 | Gal | Multi Layer perceptrons | Slides | Video | |
| Mon | 2021-11-09 | Gal | Convolutional networks, Deep architectures, Word Embeddings | ConvNets Word Embeddings | Video | Video2 |
| Mon | 2021-11-09 | Aviv | Multiclass, MLP, Backpropagation | Slides | Slides2 | |
| Mon | 2021-11-15 | Gal | Sequence models, LSTM | Slides | Video | |
| Tue | 2021-11-16 | Gal | Projects description and assignments | Submit here | ||
| Mon | 2021-11-16 | Aviv | SVMs interpretability | Slides | - | |
| Mon | 2021-11-22 | Gal | Self-Supervised learning | SSL | Youtube | |
| Tue | 2021-11-23 | Gal | Learning workflows, Contrastive learning | SSL Workflows | Mon | 2021-11-16 | Aviv | MV Gaussians, PCA | Slides | - |
| Mon | 2021-12-06 | Gal | No Class, Time for projects | - | - | |
| Tue | 2021-12-07 | Gal | Discuss word embedding and sequence models | - | - | |
| Mon | 2021-12-13 | Gal | No Class, Time for projects | - | - | |
| Tue | 2021-12-14 | Gal | No Class, Time for projects | - | - | |
| Mon | 2021-12-20 | Gal | Project proposal presentations | online template | - | |
| Tue | 2021-12-21 | Gal | Project proposal presentations | - | - | |
| Mon | 2021-12-27 | Gal | Open hour for projects | - | - | |
| Tue | 2021-12-28 | Gal | Open hour for projects | - | - | |
| Mon | 2022-01-03 | Gal | No Class, Time for projects | - | - | |
| Tue | 2022-01-04 | Gal | No Class, Time for projects | - | - | |
| Mon | 2022-01-10 | Gal | Open hour for projects | - | Schedule | |
| Mon | 2022-01-11 | Gal | Open hour for projects | - | Schedule | |
| Mon | 2022-01-17 | Gal | Final projects presentations | - | Schedule | |
| Tue | 2022-01-18 | Gal | Final projects presentations | - | Schedule |