sign language.py

# In this section you will have to add another dimension to the data
# So, for example, if your array is (10000, 28, 28)
# You will need to make it (10000, 28, 28, 1)


#training_images = np.expand_dims(training_images, axis=3)
#testing_images = np.expand_dims(testing_images, axis=3)

training_images = data_train.iloc[:,1:].values
training_labels = data_train.iloc[:,0].values

testing_images = data_test.iloc[:,1:].values
testing_labels = data_test.iloc[:,0].values

training_images = training_images.reshape(-1,28,28,1)
testing_images = testing_images.reshape(-1,28,28,1)


print(training_images.shape)
print(training_labels.shape)
print(testing_images.shape)
print(testing_labels.shape)

# Their output should be:
# (27455, 28, 28, 1)
# (27455,)
# (7172, 28, 28, 1)
# (7172,)