BasicDL-VAEGAN

2023-2 Basic Deep Learning
Pytorch를 활용한 GAN과 VAE 구현

Dataset

Flowers imitation (https://www.kaggle.com/datasets/safiullina/flowers-imitation/code)

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GAN

CNN 구조와 GAN을 결합한 DCGAN 모델

Generator	Discriminator	Settings
ConvTranspose2d	Conv2d	Optimizer: Adam
BatchNorm2d	BatchNorm2d	Batch size: 128
ReLU	LeakyReLU	Learning Rate: 1e-4
Tanh	Sigmoid	Epoch: 30, 100, 200

Result

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VAE

Encoder	Decoder	Settings
Conv2d	ConvTranspose2d	Optimizer: Adam
ReLU	ReLU	Batch size: 32
	Sigmoid	Learning Rate: 1e-3
		Epoch: 30, 100, 200

Result