Abstract
In a period spanning less than a decade, deep learning with Convolutional Neural Networks (CNNs) has become the standard for Artificial Intelligence (AI) applications. While most of the key concepts were introduced decades ago, the two driving forces behind its success have only started building momentum at the dawn of this century: (I) an exponential increase in computational power and (II) the growing availability of large sets of labeled data. These two developments reached critical mass first in speech recognition (1), and later in computer vision, with the introduction of AlexNet (2): the first deep learning architecture to win the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) (3).
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
