DeepLearningClass | Class modules created by me for fun | Application Framework library

by yungbyun Python Version: Current License: No License

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kandi X-RAY | DeepLearningClass Summary

DeepLearningClass is a Python library typically used in Server, Application Framework, Framework applications. DeepLearningClass has no bugs, it has no vulnerabilities and it has low support. However DeepLearningClass build file is not available. You can download it from GitHub.

Class modules created by me for fun using wonderful codes already existing. The original codes are from the following:. by Sung Kim in and Aymeric Damien in and ... (TBL). How have I been doing it? After execution to check it goes well without any errors, and, most importantly, without any total understanding, I just started refactoring the codes. What happened to me is just understanding the underling idea after a while. Really easy to make some codes into structured COMMON framework and classes, and it's so fun! I believe it is one of the best way to get through some part of things that we want to experience.

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Quality

Security

License

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Support

DeepLearningClass has a low active ecosystem.

It has 2 star(s) with 6 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of DeepLearningClass is current.

Quality

DeepLearningClass has no bugs reported.

Security

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

License

DeepLearningClass 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

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

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

Build the network .
Run the LSTM .
Learn from a list of csv files .
Layer layer with LSTM .
Train a batch of data .
Learn the network .
Train the model .
Creates a dynamic RNN layer .
Predicts the hypothesis .
Restore the network .

Get all kandi verified functions for this library.

DeepLearningClass Key Features

No Key Features are available at this moment for DeepLearningClass.

DeepLearningClass Examples and Code Snippets

No Code Snippets are available at this moment for DeepLearningClass.

Community Discussions

Trending Discussions on Application Framework

What is meant by required-api: param name=”#target” in config.xml file of AGL widgets?

QUESTION

What is meant by required-api: param name=”#target” in config.xml file of AGL widgets?

Asked 2020-Mar-06 at 09:53

I am trying to understand various available AGL specific options that we can give in config.xml and I am referring to the link below

https://docs.automotivelinux.org/docs/en/halibut/apis_services/reference/af-main/2.2-config.xml.html

This is the sample config.xml file

...

ANSWER

Answered 2020-Mar-06 at 09:48

I figured out why we need this

required-api: param name="#target"

OPTIONAL(not compulsory)

It declares the name of the unit(in question it is main) requiring the listed apis. Only one instance of the param “#target” is allowed. When there is not instance of this param, it behave as if the target main was specified.

Source https://stackoverflow.com/questions/60561230

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

Vulnerabilities

No vulnerabilities reported

Install DeepLearningClass

You can download it from GitHub.
You can use DeepLearningClass 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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