miniflow | core tensorflow functionality : linear and sigmoid layers | Machine Learning library

by BillZito Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | miniflow Summary

miniflow is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. miniflow has no bugs, it has no vulnerabilities and it has low support. However miniflow build file is not available. You can download it from GitHub.

Create layers, sigmoid activation nodes, forward prop, backward prop, and Stochastic Gradient Descent implementations. Much of the starter code given via Udacity's Self-driving Car nanodegree. I implemented key pieces for each of the above-mentioned pieces.

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miniflow has a low active ecosystem.

It has 20 star(s) with 14 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

miniflow has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of miniflow is current.

Quality

miniflow has 0 bugs and 0 code smells.

Security

miniflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

miniflow code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

miniflow 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

miniflow releases are not available. You will need to build from source code and install.

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

miniflow saves you 55 person hours of effort in developing the same functionality from scratch.

It has 145 lines of code, 19 functions and 2 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Performs the sigmoid
Sigmoid function
Topological sort
Performs the SGD update on the given trainable
Perform forward and backward computation

Get all kandi verified functions for this library.

miniflow Key Features

No Key Features are available at this moment for miniflow.

miniflow Examples and Code Snippets

No Code Snippets are available at this moment for miniflow.

Community Discussions

Trending Discussions on miniflow

pip search finds tensorflow, but pip install does not

QUESTION

pip search finds tensorflow, but pip install does not

Asked 2020-Jan-23 at 06:55

I am trying to build a Django app that would use Keras models to make recommendations. Right now I'm trying to use one custom container that would hold both Django and Keras. Here's the Dockerfile I've written.

...

ANSWER

Answered 2019-Jan-02 at 22:56

It looks like tensorflow only publishes wheels (and only up to 3.6), and Alpine linux is not manylinux1-compatible due to its use of musl instead of glibc. Because of this, pip cannot find a suitable installation candidate and fails. Your best options are probably to build from source or change your base image.

Source https://stackoverflow.com/questions/54014076

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

Vulnerabilities

No vulnerabilities reported

Install miniflow

You can download it from GitHub.
You can use miniflow 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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