Significant advances in artificial intelligence have revolutionized unmanned vehicles, the military, industry, and transportation. Technologies like GPTchat deserve special attention, indicating humanity's entry into the era of intelligent machines. Among the areas of AI development, machine learning stands out, particularly reinforcement learning, which focuses on adapting agents to the environment to achieve set goals.In the literature, the analysis of artificial neural network (ANN) models centers on their classification, capabilities, and applications, often implemented programmatically through libraries such as PyTorch, TensorFlow, and Theano. However, less research is dedicated to the hardware implementation of ANNs.This article compares software and hardware approaches, highlighting the structure of classic neural networks and their potential hardware implementation. It