Back to Deep Learning with PyTorch : Image Segmentation
Learner Reviews & Feedback for Deep Learning with PyTorch : Image Segmentation by Coursera
228 ratings
About the Course
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.
Top reviews
PK
May 5, 2023
Very nicely taught. Code must be made available in text file.
SG
Feb 4, 2026
Great explanation and hands-on experience for image segmentation model. I took more than an hour (because I like to look up things), and it was worth the time.
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26 - 29 of 29 Reviews for Deep Learning with PyTorch : Image Segmentation
By vaghani r d
•Apr 2, 2022
good
By Mohammed A
•Jul 16, 2022
As a course it didnot explain professionally.
By David A
•Aug 31, 2024
code errors and file errors
By Admin 1
•Nov 29, 2022
Can't unenroll