The neural network model that we will apply to the MNIST data has its origins in earlier research on how neurons in the mammalian brain might work together to transmit signals and encode patterns as memories. By using analogies to statistical mechanics in physics, this section will show you how simple networks can "learn" the distribution of image data and be used as building blocks for larger networks.
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