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Hello and welcome to a series where we will just be playing around with neural networks. The idea here is to poke around with various neural networks, doing unconventional things with them. Doing things like trying to teach a sequence to sequence model math, doing classification with a generative model, and so on. I've wanted to do this in some tutorials, but haven't thought of a way to compile them, this will have to do!
Text tutorials and sample code: https://pythonprogramming.net/generative-model-python-playing-neural-network-tensorflow/
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