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https://github.com/mrtkp9993/deeplearningexamples

Deep learning examples with Python and Tensorflow & Keras.
https://github.com/mrtkp9993/deeplearningexamples

artificial-intelligence classification colab convolutional-neural-networks data-science deep-learning deep-learning-example deep-neural-networks deeplearningexamples dense-neural-network keras machine-learning python python3 regression tensorflow

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Deep learning examples with Python and Tensorflow & Keras.

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# DeepLearningExamples
Deep learning examples with Python.

[![DOI](https://zenodo.org/badge/311097910.svg)](https://zenodo.org/badge/latestdoi/311097910)

## Requirements

```
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
```

## Google Colab

You can run notebooks on Colab:

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mrtkp9993/DeepLearningExamples)

## Examples list

|Dataset |Task | Neural Net Structure / Cell Type|
|------- |---- | ----|
|[Seoul Bike Sharing Demand Data Set](https://archive.ics.uci.edu/ml/datasets/Seoul+Bike+Sharing+Demand) | Regression | Dense |
|[South German Credit Scoring](https://archive.ics.uci.edu/ml/datasets/South+German+Credit+%28UPDATE%29) | Classification | Dense |
|[Weather Classification](https://data.mendeley.com/datasets/4drtyfjtfy/1)|Image Classification| Convolutional|
|[CLINC150](https://archive.ics.uci.edu/ml/datasets/CLINC150)|Text Classification|Recurrent, Bidirectional Recurrent|
|[Metro Interstate Traffic Volume](https://archive.ics.uci.edu/ml/datasets/Metro+Interstate+Traffic+Volume)|Time-series Forecasting|GRU|
|[Breast Cancer Wisconsin (Original)](http://odds.cs.stonybrook.edu/breast-cancer-wisconsin-original-dataset/)|Anomaly Detection|Vanilla Autoencoder, Variational Autoencoder|

## Examples from my another repositories

|Dataset|Notebook|Task|NN Structure|
|-------|--------|----|------------|
|[Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification](https://data.mendeley.com/datasets/rscbjbr9sj/2)|[Jupyter](https://nbviewer.jupyter.org/github/mrtkp9993/PneumoniaDetectionDeepLearning/blob/main/notebook_wip.ipynb) - [Repo](https://github.com/mrtkp9993/PneumoniaDetectionDeepLearning)|Image classification - Medical diagnosis|Convolutional Neural Network|

## Resources

* https://keras.io/examples/