need an expert in python who can train neural network models to recognize basic traffic signs like signals and zebra crossing and stop signs.. after training the model add an autoencoder that is updated by a reward function of the loss which will poison the input data and after receiving the output we need to compare the loss in accuracy. i am attaching the paper being used for my project where instead of mnist dataset we will use a custom dataset which.
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Hi! This is my area of expertise (and interest). Im looking forward to working with you. Drop in a text and we'll work out the details. Best, Salaar Khan