Optimization and Neural Networks
- Introduction to Biological Neurons
Artificial Neuron
Classification and Regression with Artificial Neurons
Shallow Neural Networks and Universal Approximation Theorems
Deep Neural Networks
Gradient Descent and Its Variants
Overfitting
Convolutional Neural Networks
Autoencoders