Abstract
Deep learning models such as convolution neural networks have been successful in image classification and object detection tasks. Cifar-10 dataset is used in this paper to benchmark our deep learning model. Various function optimization methods such as Adam, RMS along with various regularization techniques are used to get good accuracy on image classification task.
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.
