DeepCars | AI learns to drive a car | Machine Learning library

by Coestaris C Version: Current License: MIT

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

kandi X-RAY | DeepCars Summary

DeepCars is a C library typically used in Artificial Intelligence, Machine Learning applications. DeepCars has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

AI learns to drive a car using the NeuroEvolution algorithm.

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Quality

Security

License

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Support

DeepCars has a low active ecosystem.

It has 13 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DeepCars is current.

Quality

DeepCars has no bugs reported.

Security

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

License

DeepCars is licensed under the MIT License. This license is Permissive.

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

Reuse

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

Installation instructions are not available. Examples and code snippets are available.

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DeepCars Key Features

No Key Features are available at this moment for DeepCars.

DeepCars Examples and Code Snippets

No Code Snippets are available at this moment for DeepCars.

Community Discussions

Trending Discussions on DeepCars

How re-activate TensorFlow in Python with Docker, OS X

QUESTION

How re-activate TensorFlow in Python with Docker, OS X

Asked 2017-Oct-09 at 20:05

I'm new to tensorflow and Docker but was successful three weeks ago at setting up a Jupyter notebook and running several tensorflow examples. The Mac updated and I can't find that notebook and when I start a new one I get:

ModuleNotFoundError Traceback (most recent call last) in () ----> 1 import tensorflow as tf 2 hello = tf.constant('Hello, TensorFlow!') 3 sess = tf.Session() 4 print(sess.run(hello)) ModuleNotFoundError: No module named 'tensorflow'

I used the same command that worked three weeks ago:

...

ANSWER

Answered 2017-Oct-07 at 03:29

The container which was being used previously has been lost. To make sure, run docker ps -a.

Most probably the image being used still exists. You can check that using docker images.

Now that you know what pieces exist and what do not, you need to refer the steps which you did initially to create container.

Source https://stackoverflow.com/questions/46613743

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

Vulnerabilities

No vulnerabilities reported

Install DeepCars

You can download it from GitHub.

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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