{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/denser-deep-evolutionary-network-structured","title":"DENSER: Deep Evolutionary Network Structured Representation","arxiv_id":"1801.01563","date":"2018-01-04","proceeding":null,"authors":["Filipe Assunção","Nuno Lourenço","Penousal Machado","Bernardete Ribeiro"],"abstract":"Deep Evolutionary Network Structured Representation (DENSER) is a novel\napproach to automatically design Artificial Neural Networks (ANNs) using\nEvolutionary Computation. The algorithm not only searches for the best network\ntopology (e.g., number of layers, type of layers), but also tunes\nhyper-parameters, such as, learning parameters or data augmentation parameters.\nThe automatic design is achieved using a representation with two distinct\nlevels, where the outer level encodes the general structure of the network,\ni.e., the sequence of layers, and the inner level encodes the parameters\nassociated with each layer. The allowed layers and range of the\nhyper-parameters values are defined by means of a human-readable Context-Free\nGrammar. DENSER was used to evolve ANNs for CIFAR-10, obtaining an average test\naccuracy of 94.13%. The networks evolved for the CIFA--10 are tested on the\nMNIST, Fashion-MNIST, and CIFAR-100; the results are highly competitive, and on\nthe CIFAR-100 we report a test accuracy of 78.75%. To the best of our\nknowledge, our CIFAR-100 results are the highest performing models generated by\nmethods that aim at the automatic design of Convolutional Neural Networks\n(CNNs), and are amongst the best for manually designed and fine-tuned CNNs.","url_abs":"http://arxiv.org/abs/1801.01563v3","url_pdf":"http://arxiv.org/pdf/1801.01563v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/fillassuncao/denser-models","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/Hitsaa/Practice","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/Sivaneshmsc/FashionMNIST","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/WilliamPeng38/Fashion","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/Zernach/Fashion-MNIST","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/akulkailwoo/zalando-fashion-mnist","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/ayeshakhtar209/fashion-mnist","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/balamurugan0714/TensorFlow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/edgarjimenez1996/-fashion-mnist","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/errec-sun/mnist","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/harshit17chaudhary/SML_assignment_1","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/jkcrosby3/FashionMNST","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/robertsenps/data","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/rwaithaka/testdrive2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/sandeepreddy06/fashion-mnist","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/smurthy2020/fashion","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"denser-deep-evolutionary-network-structured","repo_url":"https://github.com/sriloksagar/fashion-mnist","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"data-augmentation","task_name":"Data Augmentation"},{"task_slug":"image-classification","task_name":"Image Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1801.01563","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}