Assertion: neural network's weight | /r/CapableOf | connect each neuron
Facets:
value: to the second layer
type: TRANSITIVE-OBJECT
value: from the first
type: OTHER
Source sentences:
text: We take all the activations from the first layer $\boldsymbol{a^{0}}$, do matrix multiplication with all the weights connecting each neuron from the first to the second layer $\boldsymbol{W}$, add a bias matrix, and at last use the sigmoid function $\sigma$ on the result.