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Convolutional Neural Networks (WEEK 2 (Case studies (Why look at case…
Convolutional Neural Networks
WEEK 1
Convolutional Neural Networks
Computer vision
Edge detection example
Padding
Strided convolution
Convolutions over volumes
One Layer of a Convolutional Network
A simple convolution network example
Pooling layers
CNN example
Why convolutions?
More edge detection
WEEK 2
Case studies
Why look at case studies?
Classic networks
Residual Networks (ResNets)
Why ResNets work
Network in Network and 1×1 convolutions
Inception network motivation
Inception network (GoogleNet)
Practical advices for using ConvNets
Using Open-Source Implementation
Transfer Learning
Data Augmentation
State of Computer Vision
WEEK 3
Detection algorithms
Object Localization
Landmark Detection
Object Detection
Convolutional Implementation of Sliding Windows
Bounding Box Predictions
Intersection Over Union
Non-max Suppression
Anchor Boxes
YOLO Algorithm
Region Proposals (R-CNN)
WEEK 4
Face Recognition
What is face recognition?
One Shot Learning
Siamese Network
Triplet Loss
Face Verification and Binary Classification
Neural Style Transfer
What is neural style transfer?
What are deep ConvNets learning?
Cost Function
Content Cost Function
Style Cost Function
1D and 3D Generalizations