This tutorial teaches you GitHub essentials like repositories branches commits and pull requests. Well run the autoencoder on the MNIST dataset a dataset of handwritten digits.
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The MLP takes the input data via the input layer and builds a non-linear model of the data to provide an estimate of the desired target variable at the output.
. Its not too bad and Ill show you how to generate test data do. Since the layers are inter-connected with each other the more input data are provided to the MLP the more it tries to learn the model by adjusting the various weights in the model through the Back-Propagation. When you lean into its advanced features a bit more JAX makes you feel like you have superpowers.
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