Back to Deep Learning with PyTorch : Image Segmentation
Learner Reviews & Feedback for Deep Learning with PyTorch : Image Segmentation by Coursera
222 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.
AC
Jul 20, 2023
There are some typos and some things that are not shown in the video but if you worked with python before you should be able to solve them easily. Overall a great exercise.
Filter by:
26 - 28 of 28 Reviews for Deep Learning with PyTorch : Image Segmentation
By Mohammed A
•Jul 17, 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