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使用 Deep Learning Toolbox™ 将深度学习融入图像处理、计算机视觉、医学成像、激光雷达处理和自动驾驶应用中。
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。
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。
Segment 2-D cardiac MRI images using U-Net, and explore predictions using Grad-CAM explainability maps.
Train a Complex-YOLO v4 network to perform object detection on point clouds.
Use 3-D simulation data to train a semantic segmentation network and fine-tune it to real-world data using generative adversarial networks (GANs).
此示例说明如何使用深度学习来训练基于视觉的车辆检测器。
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