Sigmoid-and-Relu-Neural-Nets | cost function to a given accuracy
kandi X-RAY | Sigmoid-and-Relu-Neural-Nets Summary
kandi X-RAY | Sigmoid-and-Relu-Neural-Nets Summary
Sigmoid-and-Relu-Neural-Nets is a Jupyter Notebook library. Sigmoid-and-Relu-Neural-Nets has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
Wrote a program that minimizes the cost function to a given accuracy, plots the cost vs iteration, and analyzes the differences of using relu, sigmoid, and hidden layers
Wrote a program that minimizes the cost function to a given accuracy, plots the cost vs iteration, and analyzes the differences of using relu, sigmoid, and hidden layers
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Sigmoid-and-Relu-Neural-Nets has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Sigmoid-and-Relu-Neural-Nets has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Sigmoid-and-Relu-Neural-Nets is current.
Quality
Sigmoid-and-Relu-Neural-Nets has no bugs reported.
Security
Sigmoid-and-Relu-Neural-Nets has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Sigmoid-and-Relu-Neural-Nets does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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Sigmoid-and-Relu-Neural-Nets releases are not available. You will need to build from source code and install.
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Sigmoid-and-Relu-Neural-Nets Key Features
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Sigmoid-and-Relu-Neural-Nets Examples and Code Snippets
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