Enrollments closing soon for Post Graduate Certificate Program in Applied Data Science & AI By IIT Roorkee | 3 Seats Left
Login using Social Account
Login using your credentials
PreFetching makes the processing faster because:
It compresses the dataset removing unnecessary features
Loads all the data to the RAM
Enables loading one batch at time leveraging multithreaded operations
Taking you to the next exercise in seconds...
Stay here Next Exercise
Want to create exercises like this yourself? Click here.
No hints are availble for this assesment
Go Back to the Course
1 Loading and Preprocessing Data with TensorFlow - Loading and Preprocessing of Data - Part I
2 Loading and Preprocessing Data with TensorFlow - Loading and Preprocessing of Data - Part II
3 MCQ - Processing Data from the RAM is slower than processing from the Hard Disk
4 MCQ - Using Tensorflow Data API we can do the following
5 MCQ - TensorFlow Data API does not support text files
6 MCQ - The Tensorflow operation like repeat modifies the original dataset
7 MCQ - PreFetching makes the processing faster because
8 MCQ - TensorFlow Data API works only with a GPU
9 MCQ - TFRecords is a text format
10 MCQ - Protocol buffer is a format specifically to save images
11 MCQ - TFRecords are in binary as they are easier for a computer to partition, serialize and operate with
Loading comments...