Deepend

Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact
8. Acknowledgments

About The Project

Here's a blank template to get started: To avoid retyping too much info. Do a search and replace with your text editor for the following: Letsmoe, deepend, Continu13798401, linkedin_username, email, email_client, Deepend, project_description

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Getting Started

To start off, open a terminal and add Deepend from your preferred package manager, this will get you up and running in seconds. Deepend comes with some small datasets already preinstalled, we offer you to download many more from our website though and we entice you to take a look at Kaggle datasets.

Dependencies

To run Deepend it is required that you have NumPy installed. The utilities module requires you to have OpenCV and os installed.

pip

pip install deepend

First Contact

Deepend is both a backend and frontend for creating machine learning models. Importing it is as simple as any other package. After you installed it from pip you can run

import deepend

This will get you everything deepend comes with, to be more specific you can import each module separately. Deepend comes with the following modules:

import deepend.utils as utilities
import deepend.activations as activations
import deepend.models as models
import deepend.losses as losses
import deepend.metrics as metrics

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Roadmap

• [] LSTM Layers and GRU Cells
• [] N-Dimensional Convolutional Layers

See the open issues for a full list of proposed features (and known issues).

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Your Name - @Continu13798401 - info@continuum-ai.de

Project Link: https://github.com/Letsmoe/deepend

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Acknowledgments

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