AI & ML
Deep Learning
Neural networks power modern AI. Build the foundation for understanding transformers.
Neural Network Fundamentals
The Perceptron & Multi-Layer Networks
Activation Functions
Backpropagation - The Heart of Deep Learning
Loss Functions for Deep Learning
Training Deep Networks
Optimization Algorithms
Batch Normalization & Layer Normalization
Dropout and Regularization
Convolutional Neural Networks
Convolution Operations
CNN Architectures
Transfer Learning with CNNs
Sequence Models
Recurrent Neural Networks
LSTMs and GRUs
Seq2Seq and the Road to Attention