👉 The FC Project, short for Fast-Cyclic Convolutional Neural Networks, is an innovative approach to convolutional neural networks (CNNs) designed for real-time applications where latency and computational efficiency are critical. Unlike traditional CNNs that process data in a batch mode, FC Projects use a sliding window mechanism to perform convolutions on small, fixed-size regions of the input data. This allows for faster inference by reducing the number of computations and memory accesses, making it particularly suitable for edge devices and applications requiring immediate responses, such as autonomous vehicles, robotics, and real-time video processing. By focusing on local interactions and minimizing the need for global context, FC Projects achieve a balance between accuracy and speed.
