Foundations of Convolutional Neural Networks-Convolutional Neural Networks
Computer Vision
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Edge Detection Example
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More Edge Detection
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Padding
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Connect with your Mentors and Fellow Learners on Discourse!
Strided Convolutions
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Strided convolutions *CORRECTION*
Convolutions Over Volume
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One Layer of a Convolutional Network
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Simple Convolutional Network Example
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Simple Convolutional Network Example *CORRECTION*
Pooling Layers
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CNN Example
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CNN Example *CORRECTION*
Why Convolutions?
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Why Convolutions? *CORRECTION*
Foundations of Convolutional Neural Networks-Lecture Notes (Optional)
Lectures in PDF
Foundations of Convolutional Neural Networks-Programming Assignments
How to Download your Notebook
How to Refresh your Workspace
Foundations of Convolutional Neural Networks-Heroes of Deep Learning (Optional)
Yann LeCun Interview
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Deep Convolutional Models: Case Studies-Case Studies
Why look at case studies?
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Classic Networks
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ResNets
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Why ResNets Work?
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Networks in Networks and 1x1 Convolutions
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Inception Network Motivation
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Inception Network Motivation *CORRECTION*
Inception Network
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MobileNet
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MobileNet Architecture
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EfficientNet
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Deep Convolutional Models: Case Studies-Practical Advice for Using ConvNets
Using Open-Source Implementation
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Transfer Learning
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Data Augmentation
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State of Computer Vision
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Deep Convolutional Models: Case Studies-Lecture Notes (Optional)
Lectures in PDF
Object Detection-Detection Algorithms
Object Localization
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Landmark Detection
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Object Detection
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Convolutional Implementation of Sliding Windows
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Convolutional Implementation of Sliding Windows *CORRECTION*
Bounding Box Predictions
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Intersection Over Union
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Non-max Suppression
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Anchor Boxes
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YOLO Algorithm
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YOLO algorithm *CORRECTION*
Region Proposals (Optional)
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Semantic Segmentation with U-Net
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Transpose Convolutions
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U-Net Architecture Intuition
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U-Net Architecture
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Object Detection-Lecture Notes (Optional)
Lectures in PDF
Object Detection-Programming Assignments
Clear Output Before Submitting (For U-Net Assignment)
Special Applications: Face recognition & Neural Style Transfer-Face Recognition
What is Face Recognition?
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One Shot Learning
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Siamese Network
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Triplet Loss
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Triplet Loss *CORRECTION*
Face Verification and Binary Classification
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Face Verification and Binary Classification *CORRECTION*
Special Applications: Face recognition & Neural Style Transfer-Neural Style Transfer
What is Neural Style Transfer?
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What are deep ConvNets learning?
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Cost Function
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Content Cost Function
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Style Cost *CORRECTION*
Style Cost Function
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1D and 3D Generalizations
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Special Applications: Face recognition & Neural Style Transfer-Lecture Notes (Optional)
Lectures in PDF
Special Applications: Face recognition & Neural Style Transfer-References & Acknowledgments
References
Acknowledgments