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TPC distortion correction with DNN and ML

This wiki is meant to guide you through the package.

• In Installation you will find instructions for setting up your environment.
• Running will guide you on launching the software and configuring the algorithms.
• In TensorBoard you will use TensorBoard to tune the network parameters.
• Testing metrics with TensorBoard is a practical example of using TensorBoard to determine which set of metrics is good for comparing different models.
• Validation presents instructions for creating and plotting the input and model validation data.
• Validation data format lists the quantities produced in the validation workflow.
• In Validation plots you can see the sample plots that compare models predictions.