Training Quantized Nets: A Deeper Understanding
Why quantized nets?
Deep neural networks are an integral part of state-of-the-art computer vision and natural language processing systems. Because of their high memory requirements and computational complexity, networks are usually trained using powerful hardware. There is an increasing interest in training and deploying neural networks directly on battery-powered devices, such as cell phones or other platforms. Such low-power embedded systems are memory and power limited, and in some cases lack basic support for floating-point arithmetic.