anjaeju / cs231n_practice

CS231n에서 소개된 개념에 대한 코딩 및 정리

CS231n_practice

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@ using only numpy & pandas module

• NN/KNN implementation complete
• Linear classifier implemented but require little error

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@ 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"

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@ 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

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@ Style GAN

divide and conquer

• 1. Neural Style (style transfer) (conquered)
• 2. StyleGAN (conqured)
• 3. Latent Space Exploration

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