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Deep Learning Specialization
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Course 4
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Module 1
Syllabus
Courses
Course Syllabus
Convolutional Neural Networks
Module 1: Foundations of Convolutional Neural Networks
Convolutional Neural Networks
Computer Vision
Video
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5m
Edge Detection Example
Video
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11m
More Edge Detection
Video
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7m
Padding
Video
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9m
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Reading
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2m
Strided Convolutions
Video
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8m
Convolutions Over Volume
Video
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10m
One Layer of a Convolutional Network
Video
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16m
Clarifications about Upcoming Simple Convolutional Network Example Video
Reading
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1m
Simple Convolutional Network Example
Video
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8m
Pooling Layers
Video
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10m
Clarifications about Upcoming CNN Example Video
Reading
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1m
CNN Example
Video
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12m
Clarifications about Upcoming Why Convolutions?
Reading
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1m
Why Convolutions?
Video
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9m
Lecture Notes (Optional)
Quiz
Programming Assignments
Heroes of Deep Learning (Optional)
Module 2: Deep Convolutional Models: Case Studies
Case Studies
Practical Advice for Using ConvNets
Lecture Notes (Optional)
Quiz
Programming Assignments
Module 3: Object Detection
Detection Algorithms
Lecture Notes (Optional)
Quiz
Programming Assignments
Module 4: Special Applications: Face recognition & Neural Style Transfer
Face Recognition
Neural Style Transfer
Lecture Notes (Optional)
Quiz
End of access to Lab Notebooks
Programming Assignments
References & Acknowledgments
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