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# We have grayscale images, so while loading the images we will keep grayscale=True, if you have RGB images, you should set grayscale as False
train_image = []
for i in tqdm(range(train.shape[0])):
img = image.load_img('train/'+train['id'][i].astype('str')+'.png', target_size=(28,28,1), color_mode="grayscale")
img = image.img_to_array(img)
img = img/255
train_image.append(img)
X = np.array(train_image)
# Preprocessing the Target
y=train['label'].values
y = to_categorical(y)
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