https://github.com/bhattbhavesh91/activiation-functions

Simple Tutorial to Explain the Pros and Cons of Sigmoid Activation Function
https://github.com/bhattbhavesh91/activiation-functions

activation-functions deep-learning neural-network relu sigmoid-function

Last synced: 8 months ago
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Simple Tutorial to Explain the Pros and Cons of Sigmoid Activation Function

• Host: GitHub
• URL: https://github.com/bhattbhavesh91/activiation-functions
• Owner: bhattbhavesh91
• Created: 2020-06-29T16:58:47.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2021-05-29T12:58:56.000Z (about 5 years ago)
• Last Synced: 2025-03-29T06:11:21.321Z (about 1 year ago)
• Topics: activation-functions, deep-learning, neural-network, relu, sigmoid-function
• Language: Jupyter Notebook
• Homepage:
• Size: 52.7 KB
• Stars: 3
• Watchers: 2
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml

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README

          
# Activation Functions in Neural Networks

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## 1 Derivative of the Sigmoid Activation function

* [Click here](https://youtu.be/G6djH3I0rG0)

* Click on the image below

[![Derivative of the Sigmoid Activation function](http://img.youtube.com/vi/G6djH3I0rG0/0.jpg)](http://www.youtube.com/watch?v=G6djH3I0rG0)

## 2 Pros & Cons of Sigmoid Activation Function

* [Click here](https://youtu.be/84T5l_bGhP0)

* Click on the image below

[![Pros & Cons of Sigmoid Activation Function](http://img.youtube.com/vi/84T5l_bGhP0/0.jpg)](http://www.youtube.com/watch?v=84T5l_bGhP0)

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