NumPyCNNAndroid is a project that builds convolutional neural networks for Android devices using NumPy and Kivy.
The app is designed to work on each three successive conv-relu-pool layers, show their outputs, return so that the user can execute the next three layers by clicking a button at the bottom of the screen. The previous result before clicking the button will be used for further processing.
This project is based on a previous project called NumPyCNN but NumPyCNNAndroid it is now working on Android.
Both projects are available at GitHib:
NumPyCNN: https://github.com/ahmedfgad/NumPyCNN
NumPyCNNAndroid: https://github.com/ahmedfgad/NumPyCNNAndroid
Last updated on Jun 12, 2018
NumPyCNNAndroid release 0.2 supports threading to avoid blocking app UI.
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