4. Efficient image & video architecture_"3, AI algorithm optimization"

Efficient image & video architecture

Refers to the design of smaller neural networks with performance equal to or better than the original architecture, with the goal of improving computational efficiency and reducing resource consumption.

Process: By studying the existing neural network architecture, identifying redundant parts and simplifying and optimizing them, a new, smaller network structure is formed. Optimization strategies may include reducing the number of layers, reducing the number of parameters, or adopting more efficient activation functions.

Application: This efficient architecture is particularly suitable for tasks such as image recognition and video analysis. It can maintain high accuracy while meeting the requirements of high performance and low latency, thus meeting the needs of actual applications.