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Hello and welcome to part 4 of our series of having some fun with neural networks, currently with generative networks. Wher we left off, we're building the dataset that we intend to use with our mnist generative model. We left off with quite a few questions. Typically, with ML algorithms, our data needs to be structured in a very specific way. With this generative network, and our goals, we actually have a lot of options for how we want to do this. The format can be anything, and our only goal is really to try to make this as easy as possible for the model to understand.
Text tutorials and sample code: https://pythonprogramming.net/class-generator-python-playing-neural-network-tensorflow/
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