# Deep Learning - Week 4 Lecture Notes

# What is Deep Neural Network?

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graph LR
subgraph input layer
X1[x1]
X2[x2]
X3[x3]
end
subgraph hidden layer
H1((h1))
H2((h2))
H3((h3))
end
subgraph output layer
YHAT((yhat))
end
X1 --> H1
X1 --> H2
X1 --> H3
X2 --> H1
X2 --> H2
X2 --> H3
X3 --> H1
X3 --> H2
X3 --> H3
H1 --> YHAT((yhat))
H2 --> YHAT
H3 --> YHAT

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Short introduction to vector operation in python numpy in logistic regression.

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This is my notes for Deep Learning Course in Coursera. I jumped straight to week 2 because week 1 is about introduction that I’ve known. Week 2 in summary is structured as: starting from binary classification with logistic regression, loss function and cost function, computational graph.

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