Example of using tensorflow dataset object (tf.data) (tf.data.Dataset, tf.data.TextLineDataset, tf.data.TFRecordDataset)

tensorflow uses the data set (tf.data) method to manipulate the data set.

 

 

1. Manipulate the array (memory vector):

Import tensorflow AS TF 

Input_Data = [. 1, 2,. 3,. 4,. 5 ] 

# from the array data set generated 
DataSet = tf.data.Dataset.from_tensor_slices (Input_Data) 

# DataSet dataset.shuffle = (. 3) 
# DataSet = dataset.repeat (10) 
# DataSet = dataset.batch (2) 
DataSet dataset.shuffle = (. 3) .repeat (10) .batch (2 ) 


# define iterators. 
iterator = dataset.make_one_shot_iterator () 

# get_next () returns a tensor that represents an input data (batch). 
x = iterator.get_next () 
y = x * x 


coord = tf.train.Coordinator () 
with tf.Session () as sess:
    for i in range(25):
        print(sess.run(y))