Introduccion
Overview of the class, reminders from Machine Learning,…
Mar 30, 2024
Percepton and Gradient Descent
Perceptron, MLP, Composition, and Gradient Descent
Mar 29, 2024
Backpropagation
Backpropagation
Mar 28, 2024
Softmax and Cross-entropy Loss
Softmax, Entropy and Cross-entropy Loss
Mar 27, 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 Models
GAN, VAE, Diffusion Models, AutoRegressive Models
Mar 12, 2024
Generative LLMs
In-Context-Learning, Tokenization, Instructions and Alignments, Reasonings, Training and Evaluating in Practice, LLMs as Agents
Mar 11, 2024