Deep learning examples with Python.
numpy==1.18.5
scipy==1.5.2
tensorflow==2.2.0
pandas==1.0.5
matplotlib==3.2.2
scikit_learn==0.23.2
You can run notebooks on Colab:
| Dataset | Task | Neural Net Structure / Cell Type |
|---|---|---|
| Seoul Bike Sharing Demand Data Set | Regression | Dense |
| South German Credit Scoring | Classification | Dense |
| Weather Classification | Image Classification | Convolutional |
| CLINC150 | Text Classification | Recurrent, Bidirectional Recurrent |
| Metro Interstate Traffic Volume | Time-series Forecasting | GRU |
| Breast Cancer Wisconsin (Original) | Anomaly Detection | Vanilla Autoencoder, Variational Autoencoder |
| Dataset | Notebook | Task | NN Structure |
|---|---|---|---|
| Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification | Jupyter - Repo | Image classification - Medical diagnosis | Convolutional Neural Network |