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Abstract-Implementing neural networks on an 8-bit microcontroller with limited computing power presents several programming challenges. In order for the network to perform as quickly as possible, creating the software at the assembly level was chosen. Writing the software in assembly allows a level of customization that cannot be achieved with C. However, the need for hardware portability was also a motivating factor and a more generic C implementation was also created. It was also very important to manually manage the very limited amount of data memory. Several assembly routines were created with this purpose in mind. A pseudo floating point arithmetic protocol was created exclusively for neural network calculations along with a multiplication routine for multiplying large numbers. A tanh compatible activation function was also needed. The final procedure is capable of implementing any neural network architecture on a single operating platform