NNDL-HandwrittenNumberRecognition | 神经网络与深度学习-手写数字识别 -

by CuteLeon Python Version: Current License: No License

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

kandi X-RAY | NNDL-HandwrittenNumberRecognition Summary

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

NNDL-HandwrittenNumberRecognition

Support

Quality

Security

License

Reuse

Support

NNDL-HandwrittenNumberRecognition has a low active ecosystem.

It has 6 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

NNDL-HandwrittenNumberRecognition has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NNDL-HandwrittenNumberRecognition is current.

Quality

NNDL-HandwrittenNumberRecognition has no bugs reported.

Security

NNDL-HandwrittenNumberRecognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

NNDL-HandwrittenNumberRecognition 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

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

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

Implementation of the SGD algorithm
Apply the feedforward layer
Return the size of the array
Compute the cost of a network
Return the sigmoid
Back - propagation
Computes the cost derivative of the cost function
Sigmoid function
Return vectorized result
Evaluate the function
Calculate the total cost function
Update mini_batch
Compute the accuracy of the input data
Wrapper for load_data
Load training data
Set the input tensor
Create a layer of a dropout layer
Load shared data from a pickle file
Calculate the delta of a point

Get all kandi verified functions for this library.

NNDL-HandwrittenNumberRecognition Key Features

No Key Features are available at this moment for NNDL-HandwrittenNumberRecognition.

NNDL-HandwrittenNumberRecognition Examples and Code Snippets

No Code Snippets are available at this moment for NNDL-HandwrittenNumberRecognition.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install NNDL-HandwrittenNumberRecognition

You can download it from GitHub.
You can use NNDL-HandwrittenNumberRecognition 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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