Day68 Deep Learning Lecture Review - Lecture 3
Neural Net Zoo: Transformers, Recurrent Neural Networks (RNNs) and Graph Neural Networks (GNNs)
Neural Net Zoo: Transformers, Recurrent Neural Networks (RNNs) and Graph Neural Networks (GNNs)
Types of Learning and Neural Net Zoo: Fully Connected Networks (MLPs), Inductive Bias, and Convolutional Neural Networks (CNNs)
Basic Mathematics, Supervised ML, and Review of Multi-Layered Perceptron
Bagging & Boosting : Basic Concepts & Code Implementation
Using the Majority Voting Principle to Make Predictions, and Evaluating & Tuning the Ensemble Classifier
Code Structure of Combining Classifiers via Majority Vote
Key Concepts and Mathematics Explanation
Use Other Metrics, Assign Different Class Weights, or Upsample the Minority Class
ROC area Under The Curve (ROC AUC)
Confusion Matrix and F1 score