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深度学习应用

扩展深度学习工作流在计算机视觉、图像处理、自动驾驶和信号上的应用

在 MATLAB® 中扩展深度学习工作流以应用于计算机视觉、图像处理、自动驾驶和信号等领域。例如,您可以训练对象检测器或执行语义分割来对图像的每个像素进行分类。

主题

计算机视觉

使用深度学习进行语义分割

此示例说明如何使用深度学习训练语义分割网络。

Semantic Segmentation of Multispectral Images Using Deep Learning

This example shows how to train a U-Net convolutional neural network to perform semantic segmentation of a multispectral image with seven channels: three color channels, three near-infrared channels, and a mask.

Semantic Segmentation Using Dilated Convolutions

This example shows how to train a semantic segmentation network using dilated convolutions.

Define Custom Pixel Classification Layer with Dice Loss

This example shows how to define and create a custom pixel classification layer that uses Dice loss.

Object Detection Using Deep Learning

This example shows how to train an object detector using deep learning and R-CNN (Regions with Convolutional Neural Networks).

Object Detection Using Faster R-CNN Deep Learning

This example shows how to train an object detector using a deep learning technique named Faster R-CNN (Regions with Convolutional Neural Networks).

图像处理

Remove Noise from Color Image Using Pretrained Neural Network

This example shows how to remove Gaussian noise from an RGB image.

Single Image Super-Resolution Using Deep Learning

This example shows how to train a Very-Deep Super-Resolution (VDSR) neural network, then use a VDSR network to estimate a high-resolution image from a single low-resolution image.

JPEG Image Deblocking Using Deep Learning

This example shows how to train a denoising convolutional neural network (DnCNN), then use the network to reduce JPEG compression artifacts in an image.

Image Processing Operator Approximation Using Deep Learning

This example shows how to train a multiscale context aggregation network (CAN) that is used to approximate an image filtering operation.

自动驾驶

Train a Deep Learning Vehicle Detector

This example shows how to train a vision-based vehicle detector using deep learning.

Create Occupancy Grid Using Monocular Camera and Semantic Segmentation

This example shows how to estimate free space and create an occupancy grid using semantic segmentation and deep learning.

信号

Classify ECG Signals Using Long Short-Term Memory Networks

This example shows how to classify heartbeat electrocardiogram (ECG) data from the PhysioNet 2017 Challenge using deep learning and signal processing.

Classify Time Series Using Wavelet Analysis and Deep Learning

This example shows how to classify human electrocardiogram (ECG) signals using the continuous wavelet transform (CWT) and a deep convolutional neural network (CNN).

使用深度学习进行语音命令识别

此示例说明如何训练一个简单的深度学习模型来检测音频中是否存在语音命令。此示例使用语音命令数据集 [1] 来训练卷积神经网络,以识别给定的一组命令。

Denoise Speech Using Deep Learning Networks

This example shows how to denoise speech signals using deep learning networks.

Classify Gender Using Long Short-Term Memory Networks

This example shows how to classify the gender of a speaker using deep learning.

特色示例