deeplearning-experiments | Some of my deep learning experiments | Machine Learning library

by simplicitylab Python Version: Current License: No License

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

kandi X-RAY | deeplearning-experiments Summary

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

Some of my deep learning experiments

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deeplearning-experiments has a low active ecosystem.

It has 14 star(s) with 8 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

deeplearning-experiments has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of deeplearning-experiments is current.

Quality

deeplearning-experiments has no bugs reported.

Security

deeplearning-experiments has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

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

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

Setup the convolution layer .
Train the model .
Initialize the model .
Add a tf . Dataset .
Setup image preprocessing .
Predict an image .
Load a tensorflow model .

Get all kandi verified functions for this library.

deeplearning-experiments Key Features

No Key Features are available at this moment for deeplearning-experiments.

deeplearning-experiments Examples and Code Snippets

No Code Snippets are available at this moment for deeplearning-experiments.

Community Discussions

Trending Discussions on deeplearning-experiments

Getting different accuracy in deep learning model with same code

QUESTION

Getting different accuracy in deep learning model with same code

Asked 2019-Feb-15 at 03:39

I am following an example from a deep learning book (deeplearning with keras ch1) and this was the example i am following

...

ANSWER

Answered 2019-Feb-15 at 03:39

I just read your notebook, and found you execute normalization cell twice, causing the bad results.

Source https://stackoverflow.com/questions/54701797

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

Vulnerabilities

No vulnerabilities reported

Install deeplearning-experiments

You can download it from GitHub.
You can use deeplearning-experiments 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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