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、信号、音频、文本分析和计算金融学领域的应用

使用 Deep Learning Toolbox™ 将深度学习融入计算机视觉、图像处理、自动驾驶、信号处理、音频、文本分析和计算金融学领域的应用。

类别

此示例说明如何训练 Faster R-CNN（区域卷积神经网络）目标检测器。

Use 3-D simulation data to train a semantic segmentation network and fine-tune it to real-world data using generative adversarial networks (GANs).

Detect objects in point clouds using you only look once version 4 (YOLO v4) deep learning network. In this example, you will

Train a reinforcement learning agent to control a biped walking robot modeled in Simscape™ Multibody™.

此示例说明如何使用超深超分辨率 (VDSR) 神经网络从低分辨率图像创建高分辨率图像。

Use simulation data to train a neural network than can detect faults in a chemical process.

Create, train, and compare three deep learning networks for predicting credit default probability.

Convert decimal strings to Roman numerals using a recurrent sequence-to-sequence encoder-decoder model with attention.

使用深度学习和信号处理对心跳心电图数据进行分类。

使用时频分析和深度学习分割人体心电图信号。