Open mbhushan opened 6 years ago
3D convolutions:
Convolutions in 2D and 1D:
Style Cost Function:
Style Matrix:
Intuition about style of an image:
Meaning of an style of an image:
Content Cost Function:
Find the generated image G:
Neural Style Transfer Cost Function
Learning the similarity function:
Choosing the triplets:
Loss function:
Learning Objective:
Goal of learning:
Siamese network:
Learning a similarity function:
Face verification vs face recognition:
3D convolutions:
Convolutions in 2D and 1D:
Style Cost Function:
Style Matrix:
Intuition about style of an image:
Meaning of an style of an image:
Content Cost Function:
Find the generated image G:
Neural Style Transfer Cost Function
Learning the similarity function:
Choosing the triplets:
Loss function:
Learning Objective:
Goal of learning:
Siamese network:
Learning a similarity function:
Face verification vs face recognition: