Tools for training and using unsupervised autoencoders and supervised deep learning classifiers for hyperspectral data. Documentation available here. Source code available on Github. Autoencoders are ...

Unsupervised deep learning approach for anti-spoofing in contactless fingerprint recognition. Trains on genuine samples only using autoencoder with convolutional attention. Detects various ...

We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses ...

Supervised learning with backpropagation at its core works extremely well on an immense diversity of complicated tasks ().Using conventional techniques, the earliest layers of neurons in deep neural ...

At a presentation during Google I/O 2019, Google announced TensorFlow Graphics, a library for building deep neural networks for unsupervised learning tasks in computer vision.The library contains ...

Convolutional Autoencoder. Convolutional Autoencoder is a variant of Convolutional Neural Networks that are used as the tools for unsupervised learning of convolution filters. They are generally ...

High-frequency (HF) signals are ubiquitous in the industrial world and are of great use for monitoring of industrial assets. Most deep-learning tools are designed for inputs of fixed and/or very ...