Provides a set of APIs to visualize a network of neurons and connections in 3D space using Panda3D, a Python game engine.

• python >= 3.8
• > git clone https://github.com/stefanagapie/NeuralNetworkVisualization.git
• > cd NeuralNetworkVisualization
  Create and Activate a Python Virtual Environment (recommended)
  • > python3 -m venv ./venv
  • > source venv/bin/activate
• > pip install -r requirements.txt
• > cd Examples
• > python symmetric_neural_network.py

• python >= 3.8
• > git clone https://github.com/stefanagapie/NeuralNetworkVisualization.git
• > cd NeuralNetworkVisualization
  Create and Activate a Python a Virtual Environment (recommended)
  • > python3 -m venv ./venv
  • > source venv/bin/activate
• > pip install -r requirements.txt
• > cd Examples
• > python symmetric_tensorflow.py

COMING SOON

• Display network weight intensity using a color scale.
• Display network activations during predictions using a color scale.

COMING SOON

• Build an interactive prime number classifier using a TensorFlow Sequential model.
• Implement an intensity color map in order to observe neural network activation during predictions in real-time.