AI_Projects | AUT Principles and Applications of Artificial Intelligence | Machine Learning library

by radinshayanfar Java Version: Current License: No License

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

kandi X-RAY | AI_Projects Summary

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

AUT Principles and Applications of Artificial Intelligence course (Fall 2020) projects.

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AI_Projects has a low active ecosystem.

It has 7 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of AI_Projects is current.

Quality

AI_Projects has no bugs reported.

Security

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

License

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

AI_Projects 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.

Top functions reviewed by kandi - BETA

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

Returns a new state given the initial state
Add a card to the stack
Returns the selected variable
Get the next states
Remove the given assignment for the color variable
Edit adjacent color variables
Edit two colors
Obtains the adjacents of a point
Solves a STARTS solution
Parses the input
Returns a string representation of the color variables
Prints the output of the game
Solves a CSSP solver
Returns the initial state of this optimizer
Compares two variables
Assign variable assignment
Solve BFSSolver
Returns true if this batch matches
Compares this object to another
Solves and prints the game solver
Compares this state with the given state

Get all kandi verified functions for this library.

AI_Projects Key Features

No Key Features are available at this moment for AI_Projects.

AI_Projects Examples and Code Snippets

No Code Snippets are available at this moment for AI_Projects.

Community Discussions

Trending Discussions on AI_Projects

How to use AlexNet with one channel

QUESTION

How to use AlexNet with one channel

Asked 2019-Jan-02 at 19:09

I am new to pytorch and had a problem with channels in AlexNet. I am using it for a ‘gta san andreas self driving car’ project, I collected the dataset from a black and white image that has one channel and trying to train AlexNet using the script:

...

ANSWER

Answered 2019-Jan-02 at 06:24

Your error is not related to using gray-scale images instead of RGB. Your error is about the spatial dimensions of the input: while "forwarding" an input image through the net, its size (in feature space) became zero - this is the error you see. You can use this nice guide to see what happens to the output size of each layer (conv/pooling) as a function of kernel size, stride and padding.
Alexnet expects its input images to be 224 by 224 pixels - make sure your inputs are of the same size.

Other things you overlooked:

You are using Alexnet architecture, but you are initializing it to random weights instead of using pretrained weights (trained on imagenet). To get a trained copy of alexnet you'll need to instantiate the net like this

Source https://stackoverflow.com/questions/53999587

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

Vulnerabilities

No vulnerabilities reported

Install AI_Projects

You can download it from GitHub.
You can use AI_Projects like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the AI_Projects component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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