Deep Learning with PyTorch : Image Segmentation
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Deep Learning with PyTorch : Image Segmentation

Highlights

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.

About the Course Provider

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Course by

  • self
    Self paced
  • dueration
    Duration 3 hours
  • domain
    Domain IT & Computer Science
  • subs
    Monthly Subscription Option not available
  • fee
    Buy Now Free
  • language
    Language English