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IT: Artificial Intelligence & Data
Foundations of TensorFlow and ML
Curriculum
1 Section
20 Lessons
30 hours
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Unit 1 — Foundations of TensorFlow and ML
20
1.1
Understanding Machine Learning
20 mins
1.2
Installing TensorFlow
20 mins
1.3
Creating Tensors
20 mins
1.4
Forming Graphs
20 mins
1.5
Analyzing Systems Using Regression
20 mins
1.6
From Neurons to Perceptrons
20 mins
1.7
Filtering Images
20 mins
1.8
Datasets
20 mins
1.9
Executing with Multiple Threads
20 mins
1.10
Introducing Estimators
20 mins
1.11
Overview
20 mins
1.12
Tensor
20 mins
1.13
Select a Representative Dataset
20 mins
1.14
The Development of Machine Learning
20 mins
1.15
Exploring the TensorFlow Installation
20 mins
1.16
Creating Tensors with Known Values
20 mins
1.17
Creating and Running Sessions
20 mins
1.18
Linear Regression: Fitting Lines to Data
20 mins
1.19
Improving the Model
20 mins
1.20
Convolutional Neural Networks (CNNs)
20 mins
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