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    Back to Deep Learning with PyTorch : Image Segmentation

    Learner Reviews & Feedback for Deep Learning with PyTorch : Image Segmentation by Coursera Project Network

    Filled StarFilled StarFilled StarFilled StarHalf Faded Star
    4.4
    stars
    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.
    ...

    Top reviews

    YY

    Feb 21, 2022

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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!

    Filter by:

    1 - 25 of 26 Reviews for Deep Learning with PyTorch : Image Segmentation

    Filled StarStarStarStarStar

    By Karthik K

    •

    Sep 14, 2022

    The inference part of the code doesn't work. The instructor doesn't respond to queries in the discussion forum either. After spending the whole time, I realised that it didn't work. Disappointed. "AttributeError: module 'helper' has no attribute 'show_image' " (I tried installing the modules, but it is still not working).

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Ye Y

    •

    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!

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Md. E I

    •

    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!

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Luis T

    •

    Jun 25, 2023

    This was a really great project! It helps me understand the necessary steps to create an image segmentation project.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Raul P

    •

    Apr 11, 2023

    Very good teaching style and well explained project

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Tonmoy S

    •

    Mar 10, 2025

    This course was well guided

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Manuel d J L M

    •

    Jul 11, 2023

    Excellent course

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Hari K R

    •

    Mar 7, 2023

    It is very good

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Mohamed C

    •

    Sep 20, 2023

    thank

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Maryam B

    •

    Jun 21, 2023

    good

    Filled StarFilled StarFilled StarFilled StarStar

    By Shane M

    •

    Nov 21, 2021

    Pretty good overall. Some work needed with this projects to make them easier to debug, such as making source code available with a diff tool so people can more easily pick out stupid types.

    Because this is python, not cpp or java or similar, it can actually be pretty hard to catch a lot of typos, due to lack of compile time checks, scope control, and abundance of global variables.

    Filled StarFilled StarFilled StarFilled StarStar

    By Andreea C

    •

    Jul 21, 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.

    Filled StarFilled StarFilled StarFilled StarStar

    By Punam K

    •

    May 6, 2023

    Very nicely taught. Code must be made available in text file.

    Filled StarFilled StarFilled StarFilled StarStar

    By CHRISTOPHER W S R

    •

    Dec 30, 2022

    hello

    Filled StarFilled StarFilled StarFilled StarStar

    By Hemraj R

    •

    Oct 1, 2023

    good

    Filled StarFilled StarFilled StarStarStar

    By Alejandro S M

    •

    May 31, 2023

    the content was extremely useful and the trainer was engaging and clear on his explanations.

    the database didn´t meet the requirements for a percentage of the images, which caused the code to get some errors; this made the learning challenging as it was my first interaction with PyTorch

    Filled StarFilled StarFilled StarStarStar

    By Halil U

    •

    Apr 3, 2022

    it is too much step by step follow. it does not explain the why about what is happening within the project.

    being said that, it is good for just getting started.

    Filled StarFilled StarFilled StarStarStar

    By Ibrahim S

    •

    Feb 14, 2024

    Very simple introduction to Pytorch and Image segmentation.

    Filled StarFilled StarFilled StarStarStar

    By Aarti

    •

    Dec 29, 2022

    code was facing error

    Filled StarFilled StarFilled StarStarStar

    By Abdelkader M

    •

    Jul 28, 2022

    .

    Filled StarFilled StarStarStarStar

    By vaghani r d

    •

    Apr 2, 2022

    good

    Filled StarStarStarStarStar

    By Floriane S

    •

    Sep 26, 2024

    Terrible course, you basically just do copy/paste and execute a notebook without much explanation or context. Very little explanation is given as to "why" we do certain things of choose specific parameters. The notebook also has several typos and bugs. Overall I actually did not have to think to pass the course, which render the whole thing a waste of my time. Would not recommend.

    Filled StarStarStarStarStar

    By Shaikh J

    •

    Jun 25, 2023

    Disgusting explanation, i spent so much time just to import dataset correctly into the colab but nothing happened, he skipped so many steps in between. Really dissatisfied with this methodology.

    Filled StarStarStarStarStar

    By Mohammed A

    •

    Jul 17, 2022

    As a course it didnot explain professionally.

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