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8 votes
2 answers
3k views

Intuition behind perceptron algorithm with offset

I was looking for an intuition for the perceptron algorithm with offset rule, why the update rule is as follows: cycle through all points until convergence: $\textbf{if }\, y^{(t)} \neq \theta^{T}x^{(...
Charlie Parker's user avatar
5 votes
1 answer
1k views

Machine learning: intuition behind perceptron learning algorithm

Given features $x_1...x_n$, weights $w_1...w_n$, calculated output $y = W^T \cdot X$, and actual output $\hat{y}$, the perceptron learning algorithm changes the weights after each iteration as follows:...
user107789's user avatar
2 votes
0 answers
179 views

Machine learning: intuition behind perceptron learning algorithm

Given features x_1...x_n, weights w_1...w_n, calculated output y = Z dot X, and actual output y', the perceptron learning algorithm changes the weights after each iteration as follows: ...
user1299784's user avatar
1 vote
1 answer
216 views

Intuition behind neural networks

I'm really interested in understanding the intuition behind multilayer perceptrons and neural networks. I'm following the Caltech video which is excellent https://www.youtube.com/watch?v=Ih5Mr93E-...
Pavan Sangha's user avatar