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denoising-mnist-data

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gabrielelobosco / denoising-autoencoder-r

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Image Denoising with Autoencoders in R (University Project) Built a convolutional autoencoder in R using Keras/TensorFlow to perform image denoising on MNIST and CIFAR-10 datasets with varying levels of Gaussian noise. Achieved up to 33.6 dB PSNR on MNIST (σ = 0.1). Using PSNR, SSIM to evaluate the model. Technologies: R, Keras, TensorFlow

machine-learning r ai deep-learning academic image-processing mnist academic-project ia cifar10 denoising-autoencoders image-denoising denoising autoencoder-mnist autoencoder-cifar10 denoising-mnist-data
  • Updated Jul 30, 2025
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