Machine Learning 18
- MACHINE LEARNING – NEURAL NETWORKS RUBRIC (3 STAGES)
- Dog and cat classification
- Systems of Linear: two variables
- Systems of Linear: three variables (3x3)
- Solving System of Linear Equations
- Row Echelon Form and Rank
- Vectors
- Linear Transformations
- Determinants In-depth
- Determinants In-depth
- Derivatives
- Optimization
- Gradients and optimization
- Gradient Descentvatives
- Optimization in Neural Network
- Newton Method
- Neural Networks
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization