Data Pipelines with TensorFlow Data Services

Data Pipelines with TensorFlow Data Services

This course is part of TensorFlow: Data and Deployment Specialization

Instructor: Laurence Moroney

What you'll learn

Perform efficient ETL tasks using Tensorflow Data Services APIs
Construct train/validation/test splits of any dataset - either custom or present in TensorFlow Hub Dataset library - using Splits API
Use different modules and functions of the TFDS API to prepare your data for training pipelines
Identify bottlenecks in your input pipelines and increase your workflow efficiency by input parallelization

Skills you'll gain

Machine Learning

Details to know

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Assessments

5 assignments

Taught in English

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This course is part of the TensorFlow: Data and Deployment Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 4 modules in this course

Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model.

In this third course, you will: - Perform streamlined ETL tasks using TensorFlow Data Services - Load different datasets and custom feature vectors using TensorFlow Hub and TensorFlow Data Services APIs - Create and use pre-built pipelines for generating highly reproducible I/O pipelines for any dataset - Optimize data pipelines that become a bottleneck in the training process - Publish your own datasets to the TensorFlow Hub library and share standardized data with researchers and developers around the world This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

This week, you will be able to perform efficient ETL tasks using Tensorflow Data Services APIs

What's included

10 videos6 readings1 assignment1 programming assignment

10 videosTotal 21 minutes

A conversation with Andrew Ng2 minutesPreview module
Introduction1 minute
Popular Datasets2 minutes
Data Pipelines0 minutes
Extract, Transform and Load3 minutes
Versioning Datasets2 minutes
Looking at the Notebook1 minute
Using TFDS in Keras to Train Fashion MNIST 3 minutes
Horses or Humans in TFDS2 minutes
Week 1 Wrap Up0 minutes

6 readingsTotal 47 minutes

Downloading the Ungraded Labs and Programming Assignments10 minutes
[IMPORTANT] Have questions, issues or ideas? Join our Forum!2 minutes
Try Out the Notebook Yourself10 minutes
Try the Horses or Human Notebook10 minutes
Lecture Notes Week 15 minutes
Grader Note10 minutes

1 assignmentTotal 30 minutes

Week 1 Quiz30 minutes

1 programming assignmentTotal 60 minutes

TFDS with Rock, Paper and Scissors60 minutes

In this week, you will construct train/validation/test splits of any dataset - either custom or present in TensorFlow hub dataset library - using Splits API