GitHub

Compiled torch model has much worse performance than non-compiled version.

type:supportUser is asking for help / asking an implementation question. Stackoverflow would be better suited.User is asking for help / asking an implementation question. Stackoverflow would be better ...
GitHub

autoencoder-mnist

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 ...
IEEE

Anomaly Detection in Time Series Data of Sensex and Nifty50 With Keras

Abstract: Anomaly detection problem for time series refers to finding outlier data points relative to some standard or usual signal. A price action that contradicts the expected movement of the stock ...
C&EN

Unmixing Autoencoder for Image Reconstruction from Hyperspectral Data

Research Center for Analytical Sciences, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, College of Chemistry, Nankai University, ...
IEEE

Satellite Image Denoising Using Deep Learning: Autoencoder Decoder Application

Abstract: Through deep learning Autoencoder Decoders, it is possible to clean noisy or damaged image data received from satellites. Two models with a PSNR of 25.6 dB and 25.54 dB were generated using ...