返回到 Deep Learning with PyTorch : Image Segmentation
学生对 Coursera 提供的 Deep Learning with PyTorch : Image Segmentation 的评价和反馈
228 个评分
课程概述
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.
热门审阅
PK
May 5, 2023
Very nicely taught. Code must be made available in text file.
YY
Feb 20, 2022
Great instructor and very practical hands-on approach. I would prefer more explanation on other encoder and weight presets as that will be important for transferring the knowledge learned here!
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26 - Deep Learning with PyTorch : Image Segmentation 的 29 个评论（共 29 个）
创建者 vaghani r d
•Apr 2, 2022
good
创建者 Mohammed A
•Jul 16, 2022
As a course it didnot explain professionally.
创建者 David A
•Aug 31, 2024
code errors and file errors
创建者 Admin 1
•Nov 29, 2022
Can't unenroll