gpu_cnn_layer | skeleton code for the Fall 2019 ECE408

by luoos Python Version: Current License: No License

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kandi X-RAY | gpu_cnn_layer Summary

gpu_cnn_layer is a Python library. gpu_cnn_layer has no bugs, it has no vulnerabilities and it has low support. However gpu_cnn_layer build file is not available. You can download it from GitHub.

This is the skeleton code for the Fall 2019 ECE408 / CS483 / CSE408 course project. In this project, you will:. The project will be broken up into 4 milestones and a final submission. Read the description of the final report before starting, so you can collect the necessary info along the way. Each milestone (except milestone 1) will consist of an updated report (culminating in the final report). Append each milestone's deliverable at the beginning of the document such that your latest milestone is at the beginning of the report. You will be working in teams of 3 (no excuse here). Chicago city scholars can form teams with on campus students. You are expected to adhere to University of Illinois academic integrity standards. Do not attempt to subvert any of the performance-measurement aspects of the final project. If you are unsure about whether something does not meet those guidelines, ask a member of the teaching staff.

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Quality

Security

License

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Support

gpu_cnn_layer has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of gpu_cnn_layer is current.

Quality

gpu_cnn_layer has no bugs reported.

Security

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

License

gpu_cnn_layer 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

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

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

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

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gpu_cnn_layer Key Features

No Key Features are available at this moment for gpu_cnn_layer.

gpu_cnn_layer Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install gpu_cnn_layer

You can download it from GitHub.
You can use gpu_cnn_layer 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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