3. Sigmoid Activation Function Solved Example | Soft Computing | Machine Learning ANN Mahesh Huddar

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hi welcome back in this video I will discuss how to use sigmoid activation function to find the output at a particular neuron in an artificial neural network in this case we have been given a neural network with the input layer and output layer input layer has three neurons and output layer has one neuron in this case 0.8.6 and 0.4 are the inputs 0.35 is the bias weight 0.1.3 and minus 0.2 are the weights associated with the three neurons in this case there are two types of sigmoid functions are…

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