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kpzd's Introduction

KPZD (Knihovny pro paralelní zpracování dat)

Pro používání jednotlivých lekcí si vytvořte virtuální prostředí Pythonu 3:

$ python3 -m venv venv
$ source venv/bin/activate

Do toho poté instalujte jednotlivé závislosti. Pro většinu lekcí se vám bude hodit nainstalovat Jupyter notebook:

(venv) $ python3 -m pip install notebook

Lekce

  1. numpy
  2. pandas
  3. Machine learning
  4. TensorFlow
  5. (Fashion) MNIST with Keras
  6. Handling overfitting
  7. Convolutional networks
  8. Transfer learning, data augmentation
  9. Segmentation
  10. Generative adversarial networks
  11. Reinforcement learning

Záznamy lekcí z běhu KPZD v akademickém roce 2023/2024 lze naleznout zde.

kpzd's People

Contributors

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