TensorKart | self-driving MarioKart with TensorFlow | Machine Learning library
kandi X-RAY | TensorKart Summary
kandi X-RAY | TensorKart Summary
self-driving MarioKart with TensorFlow.
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Top functions reviewed by kandi - BETA
- Record the recording button
- Start recording
- Draw the plot
- Pause the animation
- Grab a screenshot from the screen
- Poll the controller
- Saves controller data
- Updates the plot data
- Get action calibration
- Read the contents of the robot
- Resize an image
- Show a viewer
- Load image files
- Prepare data for training
- Create a tensorflow model
TensorKart Key Features
TensorKart Examples and Code Snippets
Community Discussions
Trending Discussions on TensorKart
QUESTION
So I've been playing with this interesting application of tensorflow: TensorKart
The full source code is here: https://github.com/kevinhughes27/TensorKart
I'm getting a NaN result in my loss calculation and it's totally stumped me. The problem lies in this line of code:
...ANSWER
Answered 2017-Mar-29 at 20:16So after having gone through every operation leading up to the calculation of the loss value, it turns out there were NaN values in my input data. Converting them to zero resolved the issue of getting a NaN result in the final loss value calculation.
What I haven't figured out till now is why I was only getting an error at the point I sum the two parts of the loss value but not while calculating the parts individually.
Utterly bizarre.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install TensorKart
You can use TensorKart 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.
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