Ant colony optimization (aco) algorithm is used to select the features of hyperspectral remote sensing image bands,And then use Support Vector Machines(svm) to classify pixels.

paper：Three-dimensional densely connected convolutional network for hyperspectral remote sensing image classification

This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".

Spectral–Spatial Classification of Hyperspectral Image Based on Self-adaptive Deep Residual 3D Convolutional Neural Network

The world's simplest facial recognition api for Python and the command line

Keras Temporal Convolutional Network.

Sequence modeling benchmarks and temporal convolutional networks

Models and examples built with TensorFlow

Using Keras ResNet model to classify CIFAR-10 dataset.

deep learning for image processing including classification and object-detection etc.