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Emergent X icon

1.0 by CORTEX


Aug 9, 2016

About Emergent X

English

An interactive experiment with unsupervised convolutional neural networks

This app allows the user to interactively experiment with and visualize the training of a single neuron (feature detector) in an unsupervised neural network. The user provides the online "training data" via taking photos.

Instructions: take photos and be patient -- even small neural networks are computationally intensive!

The network converges on the first "principal component" or most often occurring 2 x 2 feature pattern that multiple images share in common.

This network implements only local learning rules:

1. A neuron is competitive: if it frequently does not fire, it decreases its threshold to respond to stimuli with greater variance.

2. A neuron is thrifty: if it frequently fires, it increases its threshold

3. When a neuron fires, it tunes its "weights" to move in a direction which will increase the likelihood of a similar pattern triggering it in the future.

Example: if a post synaptic neuron was responding to a high amplitude signal, but now responds to a lower amplitude signal (due to threshold decrease), its weights will move towards the lower amplitude signal.

Network structure:

1. Input layer: 8 x 8 x 3 (3 color channels)

2. Convolutional layer: 2 x 2 x 3 ( 1 neuron with 12 synapses)

3. Activation Map: 7 x 7 x 1

Note: Color channels are preprocessed to respond similarly regardless of lighting.

What's New in the Latest Version 1.0

Last updated on Aug 9, 2016

Minor bug fixes and improvements. Install or update to the newest version to check it out!

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Additional APP Information

Latest Version

Request Emergent X Update 1.0

Uploaded by

Nguyễn Tiến Anh

Requires Android

Android 1.6+

Available on

Get Emergent X on Google Play

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Emergent X Screenshots

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