Tag: Neural Network
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Deep Learning & Neural Networks: Part 2
As a quick recap, in the last post the primary focus was introducing how images are processed to create the feature vectors, and how the logistic regression model is used to predict $$\hat y$$. In addition, the concept of loss function: $$L(\hat y\ ,\ y)\ =\ -(y\ \log\ \hat y\ +\ (1\ -\ y)\ \log\…