| Event Type | Description | Course Materials | Videos |
|---|---|---|---|
| Chapter 1 |
Layers, Blocks and Modules Fully Connected layers and blocks Convolution Layers-Blocks-Modules Recurrent Layers – Modules Attention Layers – Modules Pooling layers Normalization Layers |
Introduction Chapter 1 |
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| Chapter 2 |
Complexity Indices: Separation index and methods (Classification Problems) Smoothness index and methods (Regression Problems) Linear Density Index and methods (Unsupervised Problems) Data analysis: Dataset evaluation (ranking, cleaning, dividing, augmentation) Supervised Data Subset Selection Data Clustering Unsupervised Data Subset Selection Data Labeling in semi supervised datasets |
Chapter 2 |
|
| Homework #1 Due | Deadline : November 12 |
Homework #1 |
Topics : (Data Evaluation, Subset Selection) |
| Hands-On #1 | Pytorch |
Code Dataset |
Lecture |
| Chapter 3 |
Architectures CNNs Region Based CNNs Transformers |
Chapter 3 - Part 1 Chapter 3 - Part 2 Chapter 3 - Part 3 |
Topics : (Layer-wise Evaluation, Model Ranking) |
| Homework #2 Due | Deadline : November 30 |
Homework #2 |
|
| Homework-Extra #1 Due | Deadline : December 10 |
Homework-Extra #1 |
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| Hands-On #2 | Architectures | Chapter 4 |
Layer Wise Analysis Algorithms Layer-wise Model evaluation Pre-train Model ranking Model Confidence and Guarantee Other Layer-wise Analysis Algorithms |
| Homework #3 Due | Deadline : N/A | Topic: Model Compressing | |
| Hands-On #3 | Layer Wise Analysis Algorithms | Chapter 5 |
Layer Wise Design Algorithms Model Compressing Layer-wise forward learning (supervised, self supervised, unsupervised) Layer-wise branching/Fusion Layer-wise encoding and Feature Representation Other Layer-wise Design Algorithms |
| Homework #4 Due | Deadline : N/A | Topic: Layer wise Learning | |
| Hands-On #4 | Layer Wise Design Algorithm | Chapter 6 |
Deep Metric Learning An introduction to Metric Learning An introduction to Similarity Learning Contrastive Loss (Siamese Networks) Triplet loss Circle Loss Softmax loss SphereFace(Angular-Softmax) CosineFace Loss ArcFace loss |
| Homework #5 Due | Deadline : N/A | Topic: Metric Learning | |
| Hands-On #5 | Deep Metric Learning | ||
| Final Exam | January 28, 2024 |
Final Exam |