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IT: Artificial Intelligence & Data
Model Training, Optimization & Deployment
Curriculum
1 Section
19 Lessons
30 hours
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Unit 4 — Model Training, Optimization & Deployment
19
1.1
Using Feature Columns
20 mins
1.2
Preparing for Deployment
20 mins
1.3
Optimizer
20 mins
1.4
Train with Small, Random Batches
20 mins
1.5
Managing Variables with Scope
20 mins
1.6
Creating and Using Estimators
20 mins
1.7
Executing Applications with the Cloud SDK
20 mins
1.8
Estimator
20 mins
1.9
Normalize Batch Data
20 mins
1.10
Improving the Deep Learning Process
20 mins
1.11
Running Estimators in a Cluster
20 mins
1.12
Configuring a Cluster in the Cloud
20 mins
1.13
Dataset
20 mins
1.14
Try Different Optimization Algorithms
20 mins
1.15
Accessing Experiments
20 mins
1.16
Iterator
20 mins
1.17
Set the Right Learning Rate
20 mins
1.18
Saver
20 mins
1.19
Check Weights and Gradients
20 mins
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