Abstract: Methods, systems and media for gated recurrent neural networks (RNNs) with reduced parameter gating signals and/or memory cell units are disclosed. In some embodiments, methods for analyzing sequential data are provided, the methods comprising: providing training data to an RNN including a first gate and gating signal; calculating an array of first parameters in a first equation used to calculate values of the first gating signal, including two or fewer parameters corresponding to arrays of values; receiving input data including first data and second data, the second data comes after the first data in a sequence; providing first data to the RNN; calculating a first gating signal; generating a first output; providing second data as input to the RNN; generating a second output; and providing a third output identifying one or more characteristics of the input data based on the first output and the second output.