Recurrent Neural Networks by Example in Python

The first time I attempted to study recurrent neural networks, I made the mistake of trying to learn the theory behind things like LSTMs and GRUs first. In summary, you don't need to understand everything about the specific architecture of an LSTM cell; as a human, it shouldn't be your job to understand it. Just keep in mind what the LSTM cell is meant to do: allow past information to be reinjected at a later time. This was the author of the library Keras (Francois Chollet), an expert in deep learning, telling me I didn't need to understand everything at the foundational level! I realized that my mistake had been starting at the bottom, with the theory, instead of just trying to build a recurrent neural network.