การใช้ One-Hot Encoding เพื่อแทนค่าภาพ

# The number of image categories
n_categories = 3

# The unique values of categories in the data
categories = np.array(["shirt", "dress", "shoe"])

# Initialize ohe_labels as all zeros
ohe_labels = ____((len(labels), n_categories))

# Loop over the labels
for ii in range(len(labels)):
    # Find the location of this label in the categories variable
    jj = np.where(___)
    # Set the corresponding zero to one
    ohe_labels[____] = ____