DeepLearningPython | com integrated scripts for Python | GPU library

by MichalDanielDobrzanski Python Version: Current License: No License

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kandi X-RAY | DeepLearningPython Summary

DeepLearningPython is a Python library typically used in Hardware, GPU, Numpy applications. DeepLearningPython has no bugs, it has no vulnerabilities and it has medium support. However DeepLearningPython build file is not available. You can download it from GitHub.

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

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DeepLearningPython has a medium active ecosystem.

It has 2451 star(s) with 1170 fork(s). There are 129 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 22 have been closed. On average issues are closed in 229 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of DeepLearningPython is current.

Quality

DeepLearningPython has 0 bugs and 0 code smells.

Security

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

DeepLearningPython code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

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

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

Runs the SGD algorithm on the training data .
Wraps the loading of the data
Load data from the file .
Loads and stores the data in the specified file .
Returns the average darkness .
Load a network .
Main function for testing .
Function .
Runs the baseline classifier on the model .
Returns vectorized result for given j

Get all kandi verified functions for this library.

DeepLearningPython Key Features

No Key Features are available at this moment for DeepLearningPython.

DeepLearningPython Examples and Code Snippets

No Code Snippets are available at this moment for DeepLearningPython.

Community Discussions

Trending Discussions on DeepLearningPython

module 'numpy.distutils.__config__' has no attribute 'blas_opt_info'

QUESTION

module 'numpy.distutils.__config__' has no attribute 'blas_opt_info'

Asked 2022-Mar-17 at 10:50

I'm trying to study the neural-network-and-deep-learning (http://neuralnetworksanddeeplearning.com/chap1.html). Using the updated version for Python 3 by MichalDanielDobrzanski (https://github.com/MichalDanielDobrzanski/DeepLearningPython). Tried to run it in my command console and it gives an error below. I've tried uninstalling and reinstalling setuptools, theano, and numpy but none have worked thus far. Any help is very appreciated!!

Here's the full error log:

...

ANSWER

Answered 2022-Feb-17 at 14:12

I had the same issue and solved it downgrading numpy to version 1.20.3 by:

Source https://stackoverflow.com/questions/70839312

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

Vulnerabilities

No vulnerabilities reported

Install DeepLearningPython

You can download it from GitHub.
You can use DeepLearningPython 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

These scrips are updated ones from the neuralnetworksanddeeplearning.com gitHub repository in order to work with Python 3.5.2. The testing file (test.py) contains all three networks (network.py, network2.py, network3.py) from the book and it is the starting point to run (i.e. train and evaluate) them.

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