Exercise

Using one-hot encoding to represent images

Neural networks expect the labels of classes in a dataset to be organized in a one-hot encoded manner: each row in the array contains zeros in all columns, except the column corresponding to a unique label, which is set to 1.

The fashion dataset contains three categories:

Shirts
Dresses
Shoes

In this exercise, you will create a one-hot encoding of a small sample of these labels.

Instructions

100 XP

Initialize the ohe_labels variable to hold the one-hot encoded array.
Use np.where() to find the location of the category of the item in each iteration in categories.
Assign a 1 into the correct row/column combination in every iteration.

Take Hint (-30 XP)