ANALYSIS OF THE PROCESS OF IMPLEMENTING A CONVOLUTIONAL NEURAL NETWORK INTO A WORK CYCLE

The article examines current challenges and specific issues related to the integration of a convolutional neural network CNN into an enterprise’s operational workflow. The study focuses on adapting the CNN architecture to real-time conditions, covering stages such as input data preprocessing, model parameter tuning, and output postprocessing.