Understanding Neural Network Input-Output Before looking at the demo code, it's important to understand the neural network input-output mechanism. The diagram in Figure 2 corresponds to the demo ...

The demo creates a neural network with 3 input nodes, 4 hidden nodes, and 2 output nodes. The 3-4-2 network has 26 weights and biases which are initialized to dummy values of 0.01 through 0.26. Input ...

Language models typically use modern deep learning methods called neural networks, but Eshraghian is powering a language model with an alternative algorithm called a spiking neural network (SNN). He ...

Eshraghian began building the code for a spiking neural network in Python as a passion project during the pandemic, somewhat as a method to teach himself the coding language Python.