Deep Learning with PyTorch : Image Segmentation

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In this Free Guided Project, you will:
2 hours
Intermediate
No download needed
Split-screen video
English
Desktop only

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.

Requirements

Skills you will develop

  • Mathematical Optimization

  • Convolutional Neural Network

  • Autoencoder

  • Python Programming

  • pytorch

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:

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Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

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