Coursera Project Network
Deep Learning with PyTorch : Image Segmentation
Coursera Project Network

Deep Learning with PyTorch : Image Segmentation

Taught in English

Parth Dhameliya

Instructor: Parth Dhameliya

15,493 already enrolled

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.4

(163 reviews)

What you'll learn

  • Use U-Net architecture for segmentation

  • Create train function and evaluator for training loop

Details to know

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.4

(163 reviews)

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Set up colab runtime environment

  2. Setup Configurations

  3. Augmentations

  4. Custom Dataset

  5. Load Dataset into batches

  6. Create Segmentation Model

  7. Create Train and Eval Function

  8. Train Model

  9. Inference

Recommended experience

Prior programming experience in Python and basic pytorch. Theoretical knowledge of Convolutional Neural Network and Training process (Optimization)

9 project images

Instructor

Instructor ratings
4.4 (8 ratings)
Parth Dhameliya
12 Courses31,457 learners

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How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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Learner reviews

Showing 3 of 163

4.4

163 reviews

  • 5 stars

    62.57%

  • 4 stars

    22.08%

  • 3 stars

    8.58%

  • 2 stars

    2.45%

  • 1 star

    4.29%

AC
4

Reviewed on Jul 20, 2023

PK
4

Reviewed on May 5, 2023

MI
5

Reviewed on Sep 26, 2023

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