rnarv009 / cat-non-cat

Logistic Regression with neural network

Cat-non-cat

Logistic Regression with neural network

You are given a dataset ("data.h5") containing:

• a training set of m_train images labeled as cat (y=1) or non-cat (y=0)
• a test set of m_test images labeled as cat or non-cat
• each image is of shape (num_px, num_px, 3) where 3 is for the 3 channels (RGB). Thus, each image is square (height = num_px) and (width = num_px). You will build a simple image-recognition algorithm that can correctly classify pictures as cat or non-cat.