Neural Network Foundations

All topics in this module. Pick a lecture to open it.

• Artificial Neural Network (ANN)
• Perceptron
• Input Layer
• Hidden Layer
• Output Layer
• Weights
• Bias (Neuron)
• Sigmoid
• Tanh
• ReLU
• Softmax
• Loss Functions
• Optimizers
• Forward Propagation
• Backpropagation
• SGD
• Adam
• Batch
• Batch Size
• Epoch
• Learning Rate
• Dropout
• Batch Normalization
• Residual Networks