Assertion: neural network's weight | /r/UsedFor | second hidden layer
Facets:
value: for third hidden layer
type: PURPOSE
Source sentences:
text: Then like other neural networks, each hidden layer will have its own set of weights and biases, let’s say, for hidden layer 1 the weights and biases are (w1, b1), (w2, b2) for second hidden layer and (w3, b3) for third hidden layer.