What is make one shot iterator in tf

Recipe Objective

What is make_one_shot_iterator in tf?

This is achieved by using "tf.compat.v1.data.make_one_shot_iterator" function. This function will create an iterator for all the elements present in the dataset. This is the most basic type of iterator where all the data types of transformation which are needed in the dataset has to be decided before tha dataset is fed into the iterator. The iterator will iterate through all the elements present in the dataset and once disabled it cannot be used more, which results in the Dataset which is generated for this iterator can lean to involve a lot of memory.

List of Classification Algorithms in Machine Learning

Step 1 - Import library

import tensorflow as tf

Step 2 - Create a Dataset

epochs = 5 batch_size = 20 Dataset = tf.data.Dataset.from_tensor_slices([4,5,6,7,8]) Dataset = Dataset.repeat(epochs).batch(batch_size)

Step 3 - Generate iterators

iterator_data = tf.compat.v1.data.make_one_shot_iterator(Dataset) iterator_data

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