machine learning
سه سال پیش منتشر شده
تعداد بازدید: 235
کد پروژه: 384676
شرح پروژه
Neural Networks Encoding Boolean Functions
نیاز کمک برای حل تمرین دارم.
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We have seen how a simple neural network can be used to map points (0, 1) in the plane to a
scalar. Complicated functions can be reproduced by adding hidden layers. In this problem you will
manually explore weights and biases to reproduce some simple Boolean functions. You can use
any non-linearity that you want.
(a) Find weights and biases for a simple shallow neural network with 2 input neurons (0 ≤ ≤ 2) and 1 output neurons that yields an approximation of the AND function.
Your final image should look (approximately) like the
graph displayed to the right, but may not have straight
lines denoting boundaries. Try to make your network
return a number close to 1 when 0 ≥ 1 ∧ 1 ≥ 1 and return a number close to 0 otherwise. You should be able
to repurpose much of the code we wrote in class.
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