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Part 2: Considering Deep Learning Basics - CEdge Learn
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Computers
Artificial Intelligence
Part 2: Considering Deep Learning Basics
Part 2: Considering Deep Learning Basics
Curriculum
7 Sections
23 Lessons
10 Weeks
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Chapter 5: Reviewing Matrix Math and Optimization
3
33.34
Revealing the Math You Really Need
33.35
Understanding Scalar, Vector, and Matrix Operations
33.36
Interpreting Learning as Optimization
Chapter 6: Laying Linear Regression Foundations
5
37.38
Combining Variables
37.39
Mixing Variable Types
37.40
Switching to Probabilities
37.41
Guessing the Right Features
37.42
Learning One Example at a Time
Chapter 7: Introducing Neural Networks
3
43.44
Discovering the Incredible Perceptron
43.45
Hitting Complexity with Neural Networks
43.46
Struggling with Overfitting
Chapter 8: Building a Basic Neural Network
2
47.48
Understanding Neural Networks
47.49
Looking Under the Hood of Neural Networks
Chapter 9: Moving to Deep Learning
5
50.51
Seeing Data Everywhere
50.52
Discovering the Benefits of Additional Data
50.53
Improving Processing Speed
50.54
Explaining Deep Learning Differences from Other Forms of AI
50.55
Finding Even Smarter Solutions
Chapter 10: Explaining Convolutional Neural Networks
3
56.57
Beginning the CNN Tour with Character Recognition
56.58
Explaining How Convolutions Work
56.59
Detecting Edges and Shapes from Images
Chapter 11: Introducing Recurrent Neural Networks
2
60.61
Introducing Recurrent Networks
60.62
Explaining Long Short-Term Memory
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