Supervised Learning

• A Machine Learning paradigm which takes in labelled data in order to output a label.

• Perceptron-based models are Universal Approximators in that they can approximate any continuous function to any desired level of accuracy.

Topics §

• Bayesian Models
• Linear Models
• Pathologies of Deep Learning
• Neural Network
• Computer Vision Models
  • Convolutional Neural Network
• Sequence Based Algorithms
  • Recurrent Neural Network
  • Transformer Model
  • Mamba Model
• Natural Language Processing
  • Large Language Model
• Graph Neural Network

Links §

• Machine Learning