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IT: Artificial Intelligence & Data
TensorFlow Model Training and Deployment
Curriculum
1 Section
19 Lessons
30 hours
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Unit 3 — TensorFlow Model Training and Deployment
19
1.1
Transforming Tensors
20 mins
1.2
Visualizing Data with TensorBoard
20 mins
1.3
Binary Logistic Regression: Classifying Data into Two Categories
20 mins
1.4
Training with Backpropagation
20 mins
1.5
Performing Image Operations
20 mins
1.6
Bizarro Datasets
20 mins
1.7
Running an Estimator
20 mins
1.8
The gcloud Utility
20 mins
1.9
Session
20 mins
1.10
Start with a Small Number of Layers
20 mins
1.11
Creating Operations
20 mins
1.12
Multinomial Logistic Regression: Classifying Data into Multiple Categories
20 mins
1.13
Implementing Deep Learning
20 mins
1.14
Creating Input Functions
20 mins
1.15
Google Cloud Storage
20 mins
1.16
Variable
20 mins
1.17
Add Dropout Layers
20 mins
1.18
Putting Theory into Practice
20 mins
1.19
Tuning the Neural Network
20 mins
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