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Questions tagged [perceptron]

For questions about the perceptron learning algorithm in Machine Learning.

1
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1answer
54 views

A neural network for digits recognition doesn't work (MNIST, Numpy) [closed]

I'm a beginner in machine learning and I was trying to make a test neural network for digits recognition from scratch using Numpy. I used MNIST dataset for training and testing. Input layer have 28*28 ...
2
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0answers
11 views

Batch PTA stopping condition

I am reviewing my Neural Network lectures and I have a doubt: My book's (Haykin) batch PTA describes a cost function which is defined over the set of the misclassified inputs. I have always been ...
2
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0answers
71 views

Non-monotonic activation function and XOR problem with perceptron

I already post the question on Stackoverflow : https://stackoverflow.com/questions/53785922/is-the-use-of-a-non-monotonic-activation-function-is-a-correct-and-viable-solut?noredirect=1#...
4
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6answers
207 views

Why can't the XOR linear inseparability problem be solved with one perceptron - like this?

Consider a perceptron where $w_0=1$ and $w_1=1$: Now, say we use an activation function $f(x)=1,~for~x=1$$~~~~~~~~~~~~~0, otherwise$ The output is then summarised as: $x_0~~~~~x_1~~~~~w_0*x_0 + ...
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0answers
45 views

First perceptron learning algorithm

I struggle to find Rosenblatts perceptron training algorithm in any of his publications from 1967 - 1951, namely: [1] Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms [2] ...
5
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1answer
82 views

How does a single hidden layer neuron affect output?

I'm learning about multilayer perceptrons, and I have a quick theory question in regards to hidden layer neurons. I know we can use two hidden layers to solve a non-linearly seperable problem by ...
0
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1answer
30 views

Update theta in a perceptron?

Is theta supposed to be updated in a perceptron, like the weights, and if so, what is the formula for this? I'm trying to make the perceptron learn AND and OR, but without updating theta, I don't ...
4
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2answers
132 views

Is a Multilayer Perceptron a recursive function?

I read somewhere that a Multilayer Perceptron is a recursive function in its forward propagation phase. I am not sure, what is the recursive part? For me, I would see a MLP as a chained function. So, ...
1
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1answer
65 views

Minimum number of perceptrons for an n-bit truth table?

Suppose I have a Boolean function that maps N bits to one bit. If I understand correctly, this function will have 2^2^N possible configurations of its truth table. What is the minimum number of ...
1
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2answers
133 views

Creating a working perceptron

I'm trying to learn more about AI by trying to program a neural network. First I'm trying to understand writing my own perceptron but I'm struggling to get a basic perceptron working correctly. I've ...
3
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2answers
424 views

Perceptron learning algorithm: different accuracies for different training methods

So, my question is a bit theoretical. I have been trying to implement a perceptron based classifier with outputs 1 and 0 depending on the category. I have used 2 methods: The ...