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A project developed and maintained as part of the aim at bringing current capabilities in machine learning and artificial intelligence into practical use for non-programmers and average computer users.
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README.md


          Machine Learning Model Playgrounds



        The Machine Learning Model Playgrounds is a project that is part of the dream of a team of Moses Olafenwa and John Olafenwa to bring current capabilities in machine learning and artificial intelligence into practical use for non-programmers and average computer users. This project is the first step in what we hope will become mainstream application in modern technology in which Computers, Smartphones, Edge Devices and Systems will have in-built state-of-the-art Machine Learning and Artificial Intelligence capabilities without having to connect to cloud based services.
        The Machine Learning Model Playgrounds is a series of Windows programs built using pure python libraries and code. Each of the programs is a user-friendly demo of Image Classification powered by a specific image classification model of popular Machine Learning Algorithms trained on the ImageNet (1000 object classes ) dataset. Each program provides a user interface where users can select a picture from their Windows system folder while the program process the selected picture and give top-10 possible results of the objects detected with percentage probability per each result.

          This repository contains the source code, models and builds of each of the programs in the Model Playgrounds series. It is provided to allow other developers outside our team to adapt, modify or extend the code to produce more programs that may be specific to a social, business, economic or scientific need.

        The dependencies used for this project are listed below:
    - Python 3.5.2
    - Tensorflow 1.4.0
    - Keras 2.0.8
    - Numpy 1.13.1
    - Scipy 0.19.1
    - wxPython 4.0.0

Below you will find the details and pictures of each of the programs in the series.



>> ResNet Playground



          The ResNet Playground is powered by the ResNet50 model trained on the ImageNet dataset. You can find its source codes in the resnet-playground folder of this repository or follow this link. You can also download the Windows Installer for the program in the Release section of this project or follow this link.
          This program is a Windows 64-bit software that can be installed on Windows 7 and later versions of the Operating System. It has an installer size of 227mb and install size of 690mb. The program was compiled using PyInstaller 3.3 for Python 3.5 .



>> DenseNet Playground



          The DenseNet Playground is powered by the DenseNet121 model trained on the ImageNet dataset. You can find its source codes in the densenet-playground folder of this repository or follow this link. You can also download the Windows Installer for the program in the Release section of this project or follow this link.
          This program is a Windows 64-bit software that can be installed on Windows 7 and later versions of the Operating System. It has an installer size of 166mb and install size of 623mb. The program was compiled using PyInstaller 3.3 for Python 3.5 .



>> SqueezeNet Playground



          The SqueezeNet Playground is powered by the SqueezeNet model trained on the ImageNet dataset. You can find its source codes in the squeezenet-playground folder of this repository or follow this link. You can also download the Windows Installer for the program in the Release section of this project or follow this link.
          This program is a Windows 64-bit software that can be installed on Windows 7 and later versions of the Operating System. It has an installer size of 142mb and install size of 596mb. The program was compiled using PyInstaller 3.3 for Python 3.5 .



>> Inception Playground



          The Inception Playground is powered by the Inception V3 model trained on the ImageNet dataset. You can find its source codes in the inception-playground folder of this repository or follow this link. You can also download the Windows Installer for the program in the Release section of this project or follow this link.
          This program is a Windows 64-bit software that can be installed on Windows 7 and later versions of the Operating System. It has an installer size of 221mb and install size of 686mb. The program was compiled using PyInstaller 3.3 for Python 3.5 .



          We are open to comments, suggestions and questions on this project. Feel free to reach to our team via our contact below:
    - Moses Olafenwa, Chief Programmer of the Playground project
      Email: guymodscientist@gmail.com
      Twitter: @OlafenwaMoses

    - John Olafenwa, Technical Adviser of the Playground project
      Email: johnolafenwa@gmail.com
      Twitter: @johnolafenwa
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