Introduccion
Overview of the class, reminders from Machine Learning,…
Mar 30, 2024
Regularization
Penalization, Dropout, Data augmentation
Mar 24, 2024
Computer Vision Architectures
ImageNet, Revolution of depth, Classical classifiers architectures
Mar 21, 2024
Transfer Learning
Motivation, Principle, Types of TL, Weights unfreezing, Pre-training datasets, SoTA
Mar 20, 2024
Object Detection
Principle, IoU and mAP, Classical Object Detection, Segmentation and Mask-RCNN, SoTA
Mar 19, 2024
Generative LLMs
In-Context-Learning, Tokenization, Instructions and Alignments, Reasonings, Training and Evaluating in Practice, LLMs as Agents
Mar 11, 2024
Large Multimodal Models
Multimodality, Fusion, Original tasks, datasets and models, CLIP and text2image Diffusion, Fusion of Large Pre-trained Models, LMM Assistants and Open-source recent datasets
Mar 10, 2024