Fpga Vs. Gpu: Which Is Better For Deep Learning?

Deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the decision-making power of the human brain. It is primarily used for tasks like speech recognition, image processing, and complex decision-making. The choice of hardware, such as GPUs or FPGAs, significantly influences the efficiency, speed, and scalability of deep learning applications.