This table represents our neural network with one hidden layer containing two neurons. Initialize the weights and biases for each neuron randomly. For simplicity, let's use the following values:
| | Output | | --- | --- | | Neuron 1 | 0.7 | | Neuron 2 | 0.3 | | Bias | 0.2 | build neural network with ms excel new
output = 1 / (1 + exp(-(0.5 * input1 + 0.2 * input2 + 0.1))) This table represents our neural network with one
| | Neuron 1 | Neuron 2 | Output | | --- | --- | --- | --- | | Input 1 | | | | | Input 2 | | | | | Bias | | | | build neural network with ms excel new