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ae-vae-fashionmnist – AI Model by krishika28 | AlphaNeural AI | AlphaNeural AI
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Autoencoder & Variational Autoencoder (VAE) on Fashion-MNIST
This project implements:
Autoencoder (AE)
Variational Autoencoder (VAE)
to learn latent representations and generate images from the Fashion-MNIST dataset.
Dataset
Fashion-MNIST
Grayscale images of clothing items (28x28)
Models
Autoencoder
Deterministic model
Better reconstruction quality
Variational Autoencoder (VAE)
Probabilistic model
Smooth latent space
Can generate new images
Results
AE: Sharper reconstruction
VAE: Better generation & smooth transitions
Latent Dimensions Tested
2
8
16
32
Files
autoencoder.pth
→ trained Autoencoder model
vae.pth
→ trained VAE model
Usage
Load model in PyTorch:
model.load_state_dict(torch.load("model.pth"))
