euroscipy-tutorial | Files for Euroscipy

by cambridgecoding Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | euroscipy-tutorial Summary

euroscipy-tutorial is a Python library. euroscipy-tutorial has no bugs, it has no vulnerabilities and it has low support. However euroscipy-tutorial build file is not available. You can download it from GitHub.

Files for Euroscipy 2015

Support

Quality

Security

License

Reuse

Support

euroscipy-tutorial has a low active ecosystem.

It has 6 star(s) with 9 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 1877 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of euroscipy-tutorial is current.

Quality

euroscipy-tutorial has no bugs reported.

Security

euroscipy-tutorial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

euroscipy-tutorial 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.

Reuse

euroscipy-tutorial releases are not available. You will need to build from source code and install.

euroscipy-tutorial has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed euroscipy-tutorial and discovered the below as its top functions. This is intended to give you an instant insight into euroscipy-tutorial implemented functionality, and help decide if they suit your requirements.

Calculates the cost gradient of the gradients
Backprop propagation
Compute the cost gradient of a layer
Binary KL divergence
Fit the model to data
Backpropagate cost function
Backpropagate the loss function
Apply the activation function
Computes the log probabilities of the model
Logistic logistic function
Softmax function
Predict probabilities for the decision function
Calculate the cost and gradient
Pack two arrays
Unpack the model
Back - propagation
Plots the decision plot
Compute the prediction scores
Computes the decision function
Perform a partial fit
Fit the model
Predicts the decision function
Predict the decision scores
Predicts the decision scores

Get all kandi verified functions for this library.

euroscipy-tutorial Key Features

No Key Features are available at this moment for euroscipy-tutorial.

euroscipy-tutorial Examples and Code Snippets

No Code Snippets are available at this moment for euroscipy-tutorial.

Community Discussions

No Community Discussions are available at this moment for euroscipy-tutorial.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install euroscipy-tutorial

You can download it from GitHub.
You can use euroscipy-tutorial like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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