notebooks for embarc workshops

Deep Learning

• Intro:

  • Quickstart: https://colab.research.google.com/github/embarced/notebooks/blob/master/deep/intro_quickstart.ipynb?hl=en
  • Regression: https://colab.research.google.com/github/embarced/notebooks/blob/master/deep/intro-regression.ipynb?hl=en
    • Extended Version: https://colab.research.google.com/github/embarced/notebooks/blob/master/deep/intro-regression-detail.ipynb?hl=en
  • Classification: https://colab.research.google.com/github/embarced/notebooks/blob/master/deep/intro-classification.ipynb?hl=en
    • Extended Version: https://colab.research.google.com/github/embarced/notebooks/blob/master/deep/intro-classification-detail.ipynb?hl=en
  • Generalization: https://colab.research.google.com/github/embarced/notebooks/blob/master/deep/intro-regularization.ipynb?hl=en
  • Metrics: https://colab.research.google.com/github/embarced/notebooks/blob/master/deep/binary-metrics.ipynb

• Tabular: https://colab.research.google.com/github/embarced/notebooks/blob/master/deep/tabular.ipynb?hl=en

• Image/CNN:

  • https://colab.research.google.com/github/embarced/notebooks/blob/master/deep/intro_cnn.ipynb?hl=en
  • Outdated version unsuccessfully trying transfer learning (just for the idea how to do that): https://colab.research.google.com/github/DJCordhose/ml-workshop/blob/master/notebooks/tf2/images-intro.ipynb?hl=en

• Sequences, RNNs:

  • Basics: https://colab.research.google.com/github/embarced/notebooks/blob/master/deep/intro_rnn_basics.ipynb?hl=en
  • Complete Example: https://colab.research.google.com/github/DJCordhose/ml-workshop/blob/master/notebooks/tf-intro/2020-01-time-series.ipynb?hl=en
  • Encoder-Decoder: https://colab.research.google.com/github/DJCordhose/ml-workshop/blob/master/notebooks/tf2/time-series-encoder-decoder.ipynb

• Transformers

  • https://colab.research.google.com/github/embarced/notebooks/blob/master/deep/transformers-pipelines.ipynb?hl=en
  • https://colab.research.google.com/github/embarced/notebooks/blob/master/deep/transformers-fine-tuning.ipynb?hl=en

• Autoencoder/Unsupervised:

  • https://colab.research.google.com/github/embarced/notebooks/blob/master/deep/autoencoder-denoising.ipynb?hl=en
  • https://colab.research.google.com/github/embarced/notebooks/blob/master/deep/autoencoder-outlier-detection.ipynb?hl=en

• Deep Reinforcement Learning: https://colab.research.google.com/github/embarced/notebooks/blob/master/deep/intro_rl.ipynb?hl=en