Sigmoid Activation Function - Deep Learning Dictionary

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What is the sigmoid activation function used in artificial neural networks?

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00:10 Sigmoid Activation Function
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deeplizard

Very nice knowledge nugget. One thing to add: sigmoids aren't nearly as popular as they use to be. Computing their values and gradients isn't cheap computationally, and they saturate easily (giving nearly 0 gradients, making training hard). They are used when the [0, 1] range is a hard requirement, which may be the case if you're computing probabilities.

Mutual_Information

Love the explanation. Y'all helped me alot throughout my Data Science journey ✌️

shivamsingh-fnvz

I like your explanation to deep learning the best

OmarSharrab

{
"question": "The output of a given node having a Sigmoid Activation Function for most large positive numbers is close to ___?",
"choices": [
"1",
"0",
"-1",
"Infinity"
],
"answer": "1",
"creator": "CliffMcManus",
"creationDate": "2022-11-19T18:03:09.785Z"
}

{
"question": "The output of a given node having a Sigmoid Activation Function for most large negtaive numbers is close to ___?",
"choices": [
"0",
"1",
"-1",
"Negative Infinity"
],
"answer": "0",
"creator": "CliffMcManus",
"creationDate": "2022-11-19T18:03:09.785Z"
}

cbmcmanus

Works for unbounded real numbers by reducing them from infinity or minus infinity to closer to one or closer to zero.

smudgepost

wow, the more i search for videos in ML, the better i understand that most of the videos are with superficial content. No math, simple interpretation.

nononnomonohjghdgdshrsrhsjgd

Sigmoid Activation Function - Deep Learning Dictionary

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