https://github.com/bhattbhavesh91/xavier-initialization-walkthrough
A repository to show how Xavier initialization in Neural Networks help to initialize the weights of the network with random values that are not too small and not too large.
https://github.com/bhattbhavesh91/xavier-initialization-walkthrough
advantages keras keras-neural-networks keras-tensorflow neural-network neural-networks xavier-initialization xavier-initializer
Last synced: 11 months ago
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A repository to show how Xavier initialization in Neural Networks help to initialize the weights of the network with random values that are not too small and not too large.
- Host: GitHub
- URL: https://github.com/bhattbhavesh91/xavier-initialization-walkthrough
- Owner: bhattbhavesh91
- License: apache-2.0
- Created: 2020-07-17T10:12:06.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2021-05-28T06:58:16.000Z (about 5 years ago)
- Last Synced: 2025-04-18T14:09:00.571Z (about 1 year ago)
- Topics: advantages, keras, keras-neural-networks, keras-tensorflow, neural-network, neural-networks, xavier-initialization, xavier-initializer
- Language: Jupyter Notebook
- Homepage:
- Size: 207 KB
- Stars: 4
- Watchers: 2
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
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README
# Advantages of Xavier Initialization in Deep Neural Networks
**If you like my work, you can support me by buying me a coffee by clicking the link below**
## To view the video
or click on the image below
[](http://www.youtube.com/watch?v=NbvytSx8xhQ)
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