Wrap-up

Deep Learning for Images with PyTorch

Michal Oleszak

Machine Learning Engineer

What you learned

1. Image Classification with CNNs

  • Binary classification
  • Multi-class classification
  • Convolutional neural networks
  • Leverage pre-trained models

binary classification

Deep Learning for Images with PyTorch

What you learned

2. Object Recognition

  • Bounding boxes
  • Models: R-CNN, Faster R-CNN
  • Non-max suppression (NMS)
  • Evaluation: IoU

bounding box coordinates

Deep Learning for Images with PyTorch

What you learned

3. Image Segmentation

  • Segmentation masks
  • Instance segmentation: Mask R-CNN
  • Semantic segmentation: U-Net
  • Panoptic segmentation

Panoptic segmentation

Deep Learning for Images with PyTorch

What you learned

4. Image Generation with GANs

  • Basic GAN
  • Deep Convolutional GAN (DCGAN)
  • Model training
  • Evaluation: FID

Sample of Pokemon images generated by a GAN.

Deep Learning for Images with PyTorch

Congratulations and good luck!

Deep Learning for Images with PyTorch

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