Preprocesar imágenes para el aprendizaje profundo

Preprocess Images for Deep Learning (Deep Learning Toolbox)

Learn how to resize images for training, prediction, and classification, and how to preprocess images using data augmentation, transformations, and specialized datastores.

Preprocess Volumes for Deep Learning (Deep Learning Toolbox)

Read and preprocess volumetric image and label data for 3-D deep learning.

Datastores for Deep Learning (Deep Learning Toolbox)

Learn how to use datastores in deep learning applications.

Datastores for Deep Learning (Deep Learning Toolbox)

Learn how to use datastores in deep learning applications.

Denoise imágenes mediante el aprendizaje profundo

Entrenar y aplicar redes neuronales denoising

Utilice una red neuronal preentrenada para eliminar el ruido Gaussiano de una imagen en escala de grises o entrenar su propia red utilizando capas predefinidas.

Eliminar ruido de imagen de color mediante la red neuronal Preentrenada

En este ejemplo se muestra cómo eliminar el ruido Gaussiano de una imagen RGB mediante una red neuronal de eliminación previa de la formación en cada canal de color de forma independiente.

Aprendizaje profundo enMATLAB

Deep Learning in MATLAB (Deep Learning Toolbox)

Discover deep learning capabilities in MATLAB^® using convolutional neural networks for classification and regression, including pretrained networks and transfer learning, and training on GPUs, CPUs, clusters, and clouds.

Pretrained Deep Neural Networks (Deep Learning Toolbox)

Learn how to download and use pretrained convolutional neural networks for classification, transfer learning and feature extraction.

Semantic Segmentation Using Deep Learning (Computer Vision Toolbox)

This example shows how to train a semantic segmentation network using deep learning.