XOR Gate Exercise Using Jupiter Notebook essay
Create jupyter pocket book file: Intro_NN_XORGATE.ipynb The XOR Gate Of all logic gates a very powerful in laptop science is the unique or or XOR gate. It seems there may be ****Train**** # Uncomment the xor_gate line and discover out which neurons in addition to the or_gate neuron the # community ought to have in its hidden and output layer to provide the appropriate values. in[]class Community(): def __init__(self, gate1, gate2, out_gate): self.hidden_neuron1 = gate1 self.hidden_neuron2 = gate2 self.out_neuron = out_gate def activate(self, x1, x2): z1 = self.hidden_neuron1.activate(x1, x2) z2 = self.hidden_neuron2.activate(x1, x2) return self.out_neuron.activate(z1, z2) #xor_gate = Community(..., ..., and_gate) make_truth_table(xor_gate) ****Train**** # End this model of an XOR gate that extra intently resembles a neural community by figuring out the shapes the #weights and biases must have. #W1 = np.array(...) #b1 = np.array(...) #W2 = np.array(...) #b2 = np.array(...) in[?]hidden_layer = Layer(W1, b1) output_layer = Layer(W2, b2) in[]class Community(): def __init__(self, hidden, output): self.hidden = hidden self.output = output def activate(self, X): z = self.hidden.activate(X) return self.output.activate(z) xor_gate = Community(hidden_layer, output_layer) xor_output = xor_gate.activate(X) np.spherical(xor_outpu -research paper writing service