VR SCHOOL
ONLINE
Nexus Home
Course Catalog
Meta-Campus
Status
Enter The Nexus
Home
Courses
Part 3: Simplifying and Accelerating TensorFlow
Curriculum
4 Sections
24 Lessons
10 Weeks
Expand all sections
Collapse all sections
Chapter 10: Accessing Data with Datasets and Iterators
4
1.1
Datasets
10 mins
1.2
Iterators
10 mins
1.3
Putting Theory into Practice
10 mins
1.4
Bizarro Datasets
10 mins
Chapter 11: Using Threads, Devices, and Clusters
3
2.1
Executing with Multiple Threads
10 mins
2.2
Configuring Devices
10 mins
2.3
Executing TensorFlow in a Cluster
10 mins
Chapter 12: Developing Applications with Estimators
9
3.1
Introducing Estimators
10 mins
3.2
Training an Estimator
10 mins
3.3
Testing an Estimator
10 mins
3.4
Running an Estimator
10 mins
3.5
Creating Input Functions
10 mins
3.6
Using Feature Columns
10 mins
3.7
Creating and Using Estimators
10 mins
3.8
Running Estimators in a Cluster
10 mins
3.9
Accessing Experiments
10 mins
Chapter 13: Running Applications on the Google Cloud Platform (GCP)
8
4.1
Overview
10 mins
4.2
Working with GCP Projects
10 mins
4.3
The Cloud Software Development Kit (SDK)
10 mins
4.4
The gcloud Utility
10 mins
4.5
Google Cloud Storage
10 mins
4.6
Preparing for Deployment
10 mins
4.7
Executing Applications with the Cloud SDK
10 mins
4.8
Configuring a Cluster in the Cloud
10 mins
This content is protected, please
login
and
enroll
in the course to view this content!
Modal title
Main Content