Deep Learning

Course 1 Neural Networks and Deep Learning

Logistic Regression as a Neural Network

Notation

• n features
• m training examples
• X \in R^(n*m)
• Y \in R^(1*m)

Binary Classification

Logistic Regression

Pooling Layer

• Makes the representations smaller and more manageable
• Operates over each activation map independently