Section outline

  • cnn

    • CNN File

      This chapter delves into the foundational aspects of fully connected neural networks, emphasizing their significance in the realm of computer vision. It explores the transition from manual feature extraction, which relies heavily on domain knowledge, to automated learning methods that streamline the process. The content is primarily derived from the MIT Deep Learning course, providing a comprehensive overview of contemporary techniques and their practical applications

    • CNN refs File