How to Develop High-Performance Deep Neural Network Object Detection/Recognition Applications for FPGA-based Edge Devices

Machine learning is the process of using algorithms to parse data, learn from it, and then make a decision or prediction. Instead of preparing program codes to accomplish a task, the machine is "trained" using large volumes of data and algorithms to perform the task on its own. Machine learning is being revolutionized using neural network (NN) algorithms, which are digital models of the biological neurons found in our brains. These models contain layers which are connected like a brain's neurons. Many applications benefit from machine learning, including image classification/recognition, big data pattern detection, ADAS, fraud detection, food quality assurance, and financial forecasting.