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Questions tagged [sigmoid]

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15 questions
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Is there a standard/frequently used/convenient equivalent to sigmoid function with two thresholds? Background When writing a likelihood of data for a binary classification problem one would often ...
Roger V.'s user avatar
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3 votes
1 answer
81 views

I'm wondering about which activation function will be easier to train with (get better accuracy / smallest loss) - with SoftMax or sigmoid (for multiclass classification problem) According to: https://...
user3668129's user avatar
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2 answers
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Shown here is the histogram of around 130K predictions of my deep neural network that is classifying some financial data. This is on the dev set but a similar distribution is also seen on the train ...
BYZZav's user avatar
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1 answer
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I am trying to build an expectation model for my (19502,3) data using Keras Sequential model. This dataset has been generated using a parametric sweep in a simulation software. With this model, I want ...
Alex Moh's user avatar
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1 answer
102 views

Sigmoid function predicts the probability value which is between 0 & 1. What is the formula in logistic regression that maps the predicted probabilities to either 1 or 0?
Apoorva's user avatar
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5 votes
3 answers
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I was trying to understand significance of S-shape of sigmoid / logistic function. The slope/derivative of sigmoid approaches zero for very large and very small input values. That is $σ'(z) ≈ 0$ for $...
Rnj's user avatar
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3 votes
1 answer
419 views

For the same Binary Image Classification task, if in the final layer I use 1 node with Sigmoid activation function and ...
Confucius Cat's user avatar
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0 votes
1 answer
753 views

I am studying how to do text classification with multiple labels using tensorflow. Let's say my model is like: ...
Feng Chen's user avatar
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