{"id":17842043,"url":"https://github.com/yangboz/transferlearning4dentist","last_synced_at":"2026-02-18T12:02:39.485Z","repository":{"id":40981802,"uuid":"184694007","full_name":"yangboz/TransferLearning4Dentist","owner":"yangboz","description":"Transfer Learning for Dentist diagnosis aid , an intelligent healthcare application for train/validate/test/predict.","archived":false,"fork":false,"pushed_at":"2025-03-06T03:43:22.000Z","size":711976,"stargazers_count":1,"open_issues_count":1,"forks_count":1,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-03-17T13:36:15.092Z","etag":null,"topics":["bottleneck-features","dataset","deep-learning","fine-tuning","image-classification","image-recognition","keras","python","transfer-learning"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/yangboz.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-05-03T03:35:35.000Z","updated_at":"2025-03-06T03:43:19.000Z","dependencies_parsed_at":"2024-10-27T21:54:35.005Z","dependency_job_id":null,"html_url":"https://github.com/yangboz/TransferLearning4Dentist","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yangboz%2FTransferLearning4Dentist","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yangboz%2FTransferLearning4Dentist/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yangboz%2FTransferLearning4Dentist/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yangboz%2FTransferLearning4Dentist/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/yangboz","download_url":"https://codeload.github.com/yangboz/TransferLearning4Dentist/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244538563,"owners_count":20468738,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bottleneck-features","dataset","deep-learning","fine-tuning","image-classification","image-recognition","keras","python","transfer-learning"],"created_at":"2024-10-27T21:09:42.044Z","updated_at":"2026-02-18T12:02:39.479Z","avatar_url":"https://github.com/yangboz.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"```\nI think AI is akin to building a rocket ship. \n\nYou need a huge engine and a lot of fuel. If you have a large engine and a tiny amount of fuel, you won’t make it to orbit.\n\nIf you have a tiny engine and a ton of fuel, you can’t even lift off.\n\nTo build a rocket you need a huge engine and a lot of fuel.\n\nThe analogy to deep learning is that the rocket engine is the deep learning models and the fuel \nis the huge amounts of data we can feed to these algorithms. — Andrew Ng\n```\n\n# TransferLearning4Dentist\n\nTransfer Learning for Dentist diagnosis aid , an intelligent healthcare application for train/test/predict.\n\n[](https://cdn-images-1.medium.com/max/800/0*ovwBU8FJHCqqvsOr.gif)\n\n## LeNet\n\n![LeNet](https://raw.githubusercontent.com/yangboz/TransferLearning4Dentist/master/LeNet/plot.png)\n\n## AlexNet\n\n## ZfNet\n\n## VggNet\n\n## ResNet\n\n![ResNet](https://raw.githubusercontent.com/yangboz/TransferLearning4Dentist/master/ResNet/plot.png)\n\n### Demo\n\nhttp://118.190.96.120/iDentisty/client/\n\n## Overview\n\n(VGG16) model Transfer Learning, + Keras ImageDataGenerator, fine-tune on VGG16, base on MobileNet with ImageNet weights, for prediction \n\nand evaluate the final score.\n\n## Conceptual Framework \u0026 Details\n\n### VGG16\n\n![vgg16](https://blog.keras.io/img/imgclf/vgg16_original.png)\n\n### VGG16+\n\n![vgg16+](https://blog.keras.io/img/imgclf/vgg16_modified.png)\n\n\n## References\n\nhttps://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html\n\nhttps://medium.com/nanonets/nanonets-how-to-use-deep-learning-when-you-have-limited-data-f68c0b512cab\n\nhttp://cs231n.github.io/transfer-learning/\n\nhttps://www.pyimagesearch.com/2017/03/20/imagenet-vggnet-resnet-inception-xception-keras/\n\nhttps://medium.com/datadriveninvestor/keras-imagedatagenerator-methods-an-easy-guide-550ecd3c0a92\n\n## Papers\n\n1.Lenet，1986：http://vision.stanford.edu/cs598_spring07/papers/Lecun98.pdf \n\n2.Alexnet，2012：http://www.cs.toronto.edu/~fritz/absps/imagenet.pdf \n\n3.VGG，2014：https://arxiv.org/pdf/1409.1556.pdf \n\n4.GoogleNet，2014：https://arxiv.org/pdf/1409.4842.pdf \n\n5.ResNet，2015：https://arxiv.org/pdf/1512.03385.pdf\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyangboz%2Ftransferlearning4dentist","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyangboz%2Ftransferlearning4dentist","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyangboz%2Ftransferlearning4dentist/lists"}