Hierarchical Temporal Memory in Tensorflow
An implementation of Numenta's HTM algorithm in Tensorflow with GPU support. API design based on Keras API.
Install Python 3.5 and PIP. Then run the following command to install all project dependencies.
pip install -r requirements.txt
See Tensorflow's documentation on GPU setup.
Experiment with MNIST dataset using an HTML spatial pooler and 1 layer neural network softmax classifier.
Ensure that the MNIST dataset is placed into the data folder in its zipped format.
Results using the provided hyperparameters achieve ~95% validation accuracy.