I am moving my first steps in neural networks and to do so I am experimenting with a very simple single layer, single output perceptron which uses a sigmoidal activation function. I am updating my wei
I\'m having trouble seeing what the threshold actually does in a single-layer perceptron. The data is usually separated no matter what the value of the threshold is. It seems a lower thre开发者_运维问
I\'m experimenting with single-layer perceptrons, and I think I understand (mostly) everything. However, what I don\'t unders开发者_Python百科tand is to which weights the correction (learning rate*err
I want t开发者_如何学Pythono train a neural network with the help of Hadoop. We know when training a neural network, weights to each neuron are altered every iteration, and each iteration depends on t
I have four points: a=(-0.5, -0.5) b=(-0.5, 0.5) c=(0.3, -0.5) d=(0.0, 1.0) I need to classificate these points, first a,b and after c开发者_如何学编程, d
I am coding a perceptron to learn to categorize gender in pictures of faces. I am very very new to MATLAB, so I need a lot of help. I have a few questions:
after running the perceptron code in Matlab I get the following weights: result= 2.5799 2.8557 4.4244 -4.3156
Hi I\'m pretty new to Python and to NLP. I need to implement a perceptron classifier. I searched through some websites but didn\'t find enough information. For now I have a number of documents which I
I was reading on perceptrons and trying to implement one in haskell. The algorithm seems to be working as far as I can test. I\'m going to rewrite the code entirely at some point, but before doing so
A few simple marks for those who know the answer. I\'m doing revision for开发者_如何学运维 exams at the moment and one of the past questions is:
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