learning-deep-learning | fun approach to rapidly learning deep learning | Machine Learning library

by mikkokotila Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | learning-deep-learning Summary

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

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learning-deep-learning has a low active ecosystem.

It has 14 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

learning-deep-learning has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of learning-deep-learning is current.

Quality

learning-deep-learning has 0 bugs and 0 code smells.

Security

learning-deep-learning has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

learning-deep-learning code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

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

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

learning-deep-learning saves you 15 person hours of effort in developing the same functionality from scratch.

It has 42 lines of code, 0 functions and 3 files.

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

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learning-deep-learning Key Features

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learning-deep-learning Examples and Code Snippets

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Community Discussions

Trending Discussions on learning-deep-learning

Theano error deep learning python

Installation issues with Tensorflow in Windows10

QUESTION

Theano error deep learning python

Asked 2018-Aug-02 at 15:54

This is fairly standard openCV code where a loop will detect faces with haar cascade classifier and then there is a deep learning model that will detect the emotion in the face. The model was created from the 2013 kaggle dataset, and I downloaded this model from this github account if someone wants to try out the code. fer2013_mini_XCEPTION.119-0.65.hdf5 Just place a models folder in your directory and rename it to model.h5

https://github.com/oarriaga/face_classification/tree/master/trained_models

The code works just fine with Tensorflow but when I run the program KERAS_BACKEND=theano python haarMOD.py I get an error that is maybe due to BLAS library not linking properly?? Would anyone have any ideas on how to get theano functioning? Ultimately I am trying to get a similar variation of this code to work on a Flask server which only works with Theano.

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ANSWER

Answered 2018-Aug-02 at 15:54

I got the code to work on a Windows machine by editing the .json file on my C drive C:\Users\user\.keras to reference "theano" instead of "tenserflow"

Source https://stackoverflow.com/questions/51655266

QUESTION

Installation issues with Tensorflow in Windows10

Asked 2018-May-07 at 14:38

Installation method:

I'm using the Anaconda distribution of Python instead of having multiple versions of python on my computer. I used the instructions under TensorFlow with Anaconda (link1)(link2) with the following commands:

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ANSWER

Answered 2018-Jan-22 at 16:03

You should be able to run tensorflow just fine with that installation. However, you can install a specific version of tensorflow that was compiled to include instruction sets that will make the computation faster that your processor has access to.

Read this guide to find out how to build form source and improve your performance: https://www.tensorflow.org/install/install_sources

or feel free to continue using the installation you have now.

Source https://stackoverflow.com/questions/48385625

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

Vulnerabilities

No vulnerabilities reported

Install learning-deep-learning

You can download it from GitHub.
You can use learning-deep-learning 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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