Transmitter linearity is of major importance in wireless communications, and the main contributor to the non-linearity is the power amplifier (PA). Non-linearity reduces the system's overall efficiency and can lead to degradation of bit-error rate and data throughput. Digital pre-distortion (DPD) is a technique which allows compensating for the PA non-linearity with an overall power efficiency increase. Correcting the PA behaviour is a challenging task, and neural networks (NNs) have been proven to be highly effective in doing so. But due to the high amount of multiply and accumulate units, the area and power required by the hardware implementation of a NN predistorter is usually not negligible compared to the PA efficiency gains.