Back to Deep Learning with PyTorch : Image Segmentation
Learner Reviews & Feedback for Deep Learning with PyTorch : Image Segmentation by Coursera Project Network
206 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.
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
YY
Feb 21, 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!
MI
Sep 27, 2023
I am extremely grateful for the chance to work on this Course project as it will undoubtedly help me advance in my career. Thank you for entrusting me with this opportunity!
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26 - 26 of 26 Reviews for Deep Learning with PyTorch : Image Segmentation
By Admin 1
•Nov 29, 2022
Can't unenroll