emilgoh / mlp-xor

Hardware Implementation of Multi-Layer Perceptron with XOR Logic

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Hardware Implementation of Multi-Layer Perceptron with XOR Logic

The Verilog code describes a multi-layer perceptron with pre-trained XOR logic weights and biases in the testbench.

Architecture of the MLP is as follow:

  1. 2 Inputs
  2. 1 Hidden Layer: 3 2-input neurons with ReLU activation function
  3. 1 Output Layer: 1 output neuron with ReLU activation function

P.S. code is not optimised yet.

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Hardware Implementation of Multi-Layer Perceptron with XOR Logic


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Language:Jupyter Notebook 99.4%Language:Verilog 0.6%