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学生对 Coursera Project Network 提供的 Deep Learning with PyTorch : Image Segmentation 的评价和反馈

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In this 2-hour project-based course, you will be able to : - Understand the Segmentation Dataset and you will write a custom dataset class for Image-mask dataset. Additionally, you will apply segmentation augmentation to augment images as well as its masks. For image-mask augmentation you will use albumentation library. You will plot the image-Mask pair. - Load a pretrained state of the art convolutional neural network for segmentation problem(for e.g, Unet) using segmentation model pytorch library. - Create train function and evaluator function which will helpful to write training loop. Moreover, you will use training loop to train the model....



1 - Deep Learning with PyTorch : Image Segmentation 的 7 个评论(共 7 个)

创建者 Ye Y

Feb 21, 2022

创建者 Shane M

Nov 21, 2021

创建者 Halil U

Apr 3, 2022

创建者 Abdelkader M

Jul 28, 2022

创建者 vaghani r d

Apr 2, 2022

创建者 Karthik K

Sep 14, 2022

创建者 Mohammed A

Jul 17, 2022