What is Multi target data in TF learn explain with example

Recipe Objective

This recipe explains what is Multi Target Data in TFLayer.

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Multi Target Data

Its syntax is: tflearn.layers.core.multi_target_data (name_list, shape, dtype=tf.float32)
where its arguments are name_list which is list of str, shape which is list of int and, dtype which is placeholder data type. Multi Target Data joins and create several placeholders.

def Multi_Target_Data(name, shape, dtype=tf.float32):

    arr = []

    for j in range(len(name)):
       with tf.name_scope(name[j]):
          q = tf.arr(shape=shape, dtype=dtype, Name='Y')
       if q not in tf.get_collection(tf.GraphKeys.TARGETS):
          tf.add_to_collection(tf.GraphKeys.TARGETS, q)
       arr.append(q)
    return tf.concat(arr, axis=0)