@ using only numpy & pandas module
- NN/KNN implementation complete
- Linear classifier implemented but require little error
@ using pytorch module
- AlexNet implementation - "ImageNet Classification with Deep Convolutional Neural Networks"
- VggNet implementation - "Very Deep Convolutional Networks For Large Scale Image Recognition"
- GoogLeNet implementation - "Going deeper with convolutions"
- ResNet implementation - "Deep Residual Learning for Image Recognition"
@ GAN/OBJECT DETECTION
- I studied some concepts for GAN and Object detection such as GAN and DCGAN or bounding box and seletive search.
- I followed well explained written materials mainly blog and github, they are referenced in each file.
- Also, added some comments to their codes
@ Style GAN
-
- Neural Style (style transfer) (conquered)
-
- StyleGAN (conqured)
-
- Latent Space Exploration
Close this repo