This is the python implementation of hardware efficient spiking neural network ... Here we can see clearly observe that Neuron 1 has learned pattern '1', Neuron 2 has learned '0', Neuron 3 is noise ...

Neural networks ... a TensorFlow neural network for object recognition. The TensorFlow network returns object type and positions to the Python script. This information can be used to determine ...

While deep neural networks ... modules that you can combine to create new models. New modules are simple to add, as new classes and functions. Models are defined in Python code, not separate ...

Alternatively, you can redirect the code to your own experimental results ... reproducing most of the figures in our paper, such as Plot 2 graph measures (clustering C, path length L) vs neural ...

Deep learning, which uses multi-layered neural networks that can learn hierarchical representations ... on hand-crafted rules and features. The Python code, now available on CHM's GitHub page ...