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Identifying Flower Species using Deep Learning and PyTorch

Use the "Run" button to execute the code.

# Execute this to save new versions of the notebook
#jovian.commit(project="zero-to-gans-project")

Get some libraries

!pip install numpy matplotlib torch torchvision torchaudio --quiet

Pick a dataset from Kaggle:

  • should not be a toy/standard dataset (MNIST, CFAR10, Titanic)
  • should be >1000 images
  • should have enough variety
  • should be possible to build a good model
  • should not be too large (< 5Gb)
    • exception: work with samples

Dataset candidates

default or fallback: