ai.example | Basic application examples of artificial intelligence | Machine Learning library

by Fanping Python Version: Current License: Apache-2.0

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

kandi X-RAY | ai.example Summary

ai.example is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. ai.example has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However ai.example build file is not available. You can download it from GitHub.

Basic application examples of artificial intelligence using tensorflow.

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Quality

Security

License

Reuse

Support

ai.example has a low active ecosystem.

It has 9 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

ai.example has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ai.example is current.

Quality

ai.example has no bugs reported.

Security

ai.example has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ai.example is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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

Train the CRNN model
Create a sparse tuple from a sequence of sequences
Convert image to numpy array
Process images in folder
Creates the convolution layer
Max pooling
2d convolutional convolution layer
Create the convolution layer
2D convolutional layer
Max pooling op
Create the network
Create a CNN
Create the RNN layer
Train the faceGAN model
Save res to a file
Reads face images from a directory
Train the model
Save res to fname
Exports the Java model
Create the hyperparameters
Builds a vocabulary
Parses the input file and returns the padded data
Create random data
Run CRNN on given image file
Generate a gene identifier
Test the face recognition
Reads a vocab file

Get all kandi verified functions for this library.

ai.example Key Features

No Key Features are available at this moment for ai.example.

ai.example Examples and Code Snippets

No Code Snippets are available at this moment for ai.example.

Community Discussions

Trending Discussions on ai.example

PAI tutorial example failed to run. With '[ExitCode]: 177'

QUESTION

PAI tutorial example failed to run. With '[ExitCode]: 177'

Asked 2018-Jun-21 at 14:58

I was following the PAI job tutorial.

Here's my job's config:

...

ANSWER

Answered 2018-Jun-19 at 11:06

Normally you need look into the logs of all workers especially the first exited container to see what happens there because any container exited will cause Launcher to stop the job earlier, thus you could see the "EXIT signal received in yarn container" message in application diagnostic content.

Source https://stackoverflow.com/questions/50922868

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

Vulnerabilities

No vulnerabilities reported

Install ai.example

You can download it from GitHub.
You can use ai.example 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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