GitHub topics: autoencoder-cifar10
gabrielelobosco/denoising-autoencoder-r
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
Language: R - Size: 396 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Nishant2018/Convolutional-Autoencoder-CIFAR10-Gen-AI
Autoencoders are a type of neural network used to learn efficient codings of unlabeled data. They work by compressing the input into a latent space representation and then reconstructing the output from this representation.
Language: Jupyter Notebook - Size: 180 KB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
05rs/Autoencoders
The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for the purpose of dimensionality reduction.
Language: Jupyter Notebook - Size: 2.81 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
