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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
Last synced: 1 day ago
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Deep learning examples with Python and Tensorflow & Keras.
- Host: GitHub
- URL: https://github.com/mrtkp9993/deeplearningexamples
- Owner: mrtkp9993
- License: gpl-3.0
- Created: 2020-11-08T15:52:10.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2023-09-28T07:49:30.000Z (about 1 year ago)
- Last Synced: 2024-05-02T03:37:30.399Z (7 months ago)
- Topics: 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
- Language: Python
- Homepage:
- Size: 152 MB
- Stars: 23
- Watchers: 6
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# 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/