In neural networks, rule$-$based learning involves translating logical rules into a trainable format to enable decision$-$making. Question $7$ of $10$

In neural networks, rule$-$based learning involves translating logical rules into a trainable format to enable decision$-$making.

Consider the following neural network rule: $"$If the input feature A is greater than $0\mathrm{.}5$ and the input feature B is less than $0\mathrm{.}3,$ then activate the neuron."

If $A$ is $0\mathrm{.}005$ and $B$ is $0\mathrm{.}1,$ then determine if the the neuron's activation will be triggered or not.

Consider the following neural network rule: $"$If the input feature A is greater than $0\mathrm{.}5$ and the input feature B is less than $0\mathrm{.}3,$ then activate the neuron."

If A is $0\mathrm{.}005$ and B is $0\mathrm{.}1,$ then determine if the the neuron's activation will be triggered or not.