Question

True/False: For neural networks trained with a stochastic gradient method, setting weights to 0 is an acceptable initialization.

True/False: For logistic regression trained with a stochastic gradient method, setting weights to 0 is an acceptable initialization.

True/False: A neural network with multiple hidden layers and sigmoid nodes can form non-linear decision boundaries.

Please provide the answers WITH an explanation.

Answer 1

1) False

Particularly, stochastic slope plummet requires that the weights of the arrange are initialized to little arbitrary values arbitrary, but near to zero, such as in([0.0, 0.1,0.3,0.4]). Haphazardness is additionally utilized during the look prepare within the rearranging of the preparing dataset earlier to each epoch, which in turn comes about in contrasts within the angle assess for each group.

2) True

logistic regression trained with a stochastic gradient method, setting weights to 0 is an acceptable initializationthe observation is not a member of the class.

3) True

A neural network with multiple hidden layers and sigmoid nodes can form non-linear decision boundaries with multiple layer in sigmoid node so it is used for neural network in terms of hidden layers