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JJJohn
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2 votes
1 answer
182 views

Is $(y_i - \hat y_i)x_i$, part of the formula for updating weights for perceptron, the gradient of some kind of loss function?

2 votes
2 answers
164 views

Does it make sense for a logistic regression model to perform better than a neural network on the Iris data set?

1 vote
2 answers
51 views

Assume 120 examples, a model makes 20 correct predictions and updates weight for the other 100. Should I count this epoch 100 iterations or 120?

1 vote
0 answers
41 views

Is the main difference between the logistic regression and the perceptron the activation function they use?

1 vote
0 answers
23 views

Is it possible to compute the logical AND and OR with logistic regression?

1 vote
0 answers
34 views

Is the formula $\frac {1}{s}\sum _{j=1}^{s}|d_{j}-y_{j}(t)|$ the correct form of 0-1 loss function, in the context of Perceptron?

1 vote
1 answer
34 views

What are the labels in figure1 in the Paper "The perceptron: A probabilistic model for information storage and organization in the brain"?

1 vote
1 answer
30 views

Could someone help tell what the labels are pointed out by red rectangles?

1 vote
2 answers
2k views

What is the difference between "ground truth" and "ground-truth labels"?

1 vote
0 answers
30 views

Is it possible to train a perceptron to tell if a picture is a dog or cat?

1 vote
3 answers
157 views

Is my flowchart a good representation of the perceptron learning algorithm?

0 votes
2 answers
84 views

Should I use U-net to label keys in a keyboard image?

0 votes
0 answers
19 views

To denote a training example should I use row vector or column vector?

0 votes
0 answers
26 views

Does this code mean the model trains 10 epochs?

0 votes
1 answer
27 views

Is my understanding about the number of iterations correct?