Preprocesar imágenes para el aprendizaje profundo

Datastores for Deep Learning (Deep Learning Toolbox)

Learn how to use datastores in deep learning applications.

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.

Imágenes de Denoise usando aprendizaje profundo

Entrenar y aplicar redes neuronales de denoising

Utilice una red neuronal entrenada previamente para eliminar el ruido gaussiano de una imagen en escala de grises o entrene su propia red utilizando capas predefinidas.

Eliminar el ruido de la imagen de color utilizando la red neuronal preentrenada

En este ejemplo se muestra cómo eliminar el ruido gaussiano de una imagen RGB mediante una red neuronal de denoising previamente 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.