How to find if a data set can train a neural network?
Hope this helps There are only ad hoc ways to know if it is possible to
learn a function with a differentiable network from a dataset. That said,
these ad hoc ways do usually work. For example, the network should be able
to overfit the training set w
Date : November 27 2020, 03:01 PM , By : phyu ei Mon
Use Merge layer (lambda/function) on Keras 2.0?
I hope this helps you . Kind of a weird way to implement a model.... (at
least in keras 2...)It seems you should just use a lambda layer with a
Date : November 24 2020, 03:01 PM , By : Johnte
Negative decision_function values
Any of those help You need to consider the decision_function and the
prediction separately. The decision is the distance from the hyperplane to
your sample. This means by looking at the sign you can tell if your sample
is located right or left to the
Date : November 06 2020, 03:01 PM , By : Kushagra Aggarwal
Why do we choose Beta distribution as a prior on hypothesis?
hope this fix your issue In this lecture, prof Mitchell gives an example of
coin flipping and estimating its fairness, i.e. the probability of heads -
theta. He reasonably chose a binomial distribution for this experiment.The
reason to choose beta di
Date : November 02 2020, 03:01 PM , By : ejsteven