fashion-mnist-create-placeholders.py

# Create placeholders
def create_placeholders(n_x, n_y):
 '''
 Creates the placeholders for the tensorflow session.
 
 Arguments:
 n_x -- scalar, size of an image vector (28*28 = 784)
 n_y -- scalar, number of classes (10)
 
 Returns:
 X -- placeholder for the data input, of shape [n_x, None] and dtype "float"
 Y -- placeholder for the input labels, of shape [n_y, None] and dtype "float"
 '''
 
 X = tf.placeholder(tf.float32, [n_x, None], name=”X”)
 Y = tf.placeholder(tf.float32, [n_y, None], name=”Y”)
 
 return X, Y