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IT: Artificial Intelligence & Data
Training and Deployment with TensorFlow
Curriculum
1 Section
20 Lessons
30 hours
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Unit 2 — Training and Deployment with TensorFlow
20
1.1
Iterators
20 mins
1.2
Configuring Devices
20 mins
1.3
Training an Estimator
20 mins
1.4
Working with GCP Projects
20 mins
1.5
Operation
20 mins
1.6
Standardize Your Data
20 mins
1.7
Machine Learning Frameworks
20 mins
1.8
Running Your First Application
20 mins
1.9
Creating Tensors with Random Values
20 mins
1.10
Writing Messages to the Log
20 mins
1.11
Polynomial Regression: Fitting Polynomials to Data
20 mins
1.12
Layers and Deep Learning
20 mins
1.13
Putting Theory into Practice
20 mins
1.14
Putting Theory into Practice
20 mins
1.15
Executing TensorFlow in a Cluster
20 mins
1.16
Testing an Estimator
20 mins
1.17
The Cloud Software Development Kit (SDK)
20 mins
1.18
Graph
20 mins
1.19
Use Proper Weight Initialization
20 mins
1.20
Setting the Style
20 mins
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