{"id":13816350,"url":"https://github.com/burness/tensorflow-101","last_synced_at":"2025-05-16T10:08:41.837Z","repository":{"id":77127041,"uuid":"73361327","full_name":"burness/tensorflow-101","owner":"burness","description":"learn code with tensorflow","archived":false,"fork":false,"pushed_at":"2019-05-17T09:05:23.000Z","size":40954,"stargazers_count":1113,"open_issues_count":10,"forks_count":550,"subscribers_count":85,"default_branch":"master","last_synced_at":"2025-04-09T05:03:18.980Z","etag":null,"topics":["deeplearning","flask","gan","infogan","tensorflow","tensorflow-experiments"],"latest_commit_sha":null,"homepage":null,"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/burness.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":"2016-11-10T08:23:35.000Z","updated_at":"2025-02-10T05:44:05.000Z","dependencies_parsed_at":"2023-04-03T19:22:49.667Z","dependency_job_id":null,"html_url":"https://github.com/burness/tensorflow-101","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/burness%2Ftensorflow-101","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/burness%2Ftensorflow-101/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/burness%2Ftensorflow-101/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/burness%2Ftensorflow-101/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/burness","download_url":"https://codeload.github.com/burness/tensorflow-101/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254509477,"owners_count":22082892,"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":["deeplearning","flask","gan","infogan","tensorflow","tensorflow-experiments"],"created_at":"2024-08-04T05:00:39.185Z","updated_at":"2025-05-16T10:08:36.829Z","avatar_url":"https://github.com/burness.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"## algorithm\n\nMLP for mnist done\n\n## covert to tfrecord\n\ntest on 102flowers done\ncommand like this:\n\n`python covert_somedata_to_tfrecord.py --dataset_name=102flowers --dataset_dir='./'`\n\n## serving\ntest on MLP model on mnist done\n\ndownload the mnist jpgs on baidu yunpan [mnist jpgs](https://pan.baidu.com/s/1o8EWkVS)\n\n![](./images/mnist_server.png)\n![](./images/mnist_client_result.png)\n\n\n\n\nReference: [https://github.com/tobegit3hub/deep_recommend_system](https://github.com/tobegit3hub/deep_recommend_system)\n\n\n## finetuning and deploy model with flask\n\n![](./images/flask_with_pretrain_model.png)\n![](./images/flask_with_pretrain_model_00.png)\n\nIn folder finetuning, we use tf.slim to finetuning the pretrain model (I use the same method in my porn detection) and use flask to buid a very simple inference system.\n\n\n\n## Inference Demo\n![](./images/demo_result.png)\nI deploy a image classification in [demo page](http://demo.duanshishi.com). It is based on Tensorflow and Flask. Feel free to try.\n\n## Chinese rec\n\n![](./images/chinese_rec_example.png)\n\nYou can get the detailed introductation in [TensorFlow与中文手写汉字识别](http://hacker.duanshishi.com/?p=1753)\n\n## GAN\n### AC-GAN and Info-GAN in TensorFlow\nThe project in GAN includ AC-GAN and Info-GAN:\n\n - AC-GAN ![](./images/ac-gan-fig-01.png)\n - Info-GAN ![](./images/infogan-fig-01.png)\n\n### Result\nInfogan result:\n\n![](./images/infogan-result.png)\n![](./images/infogan-result-01.png)\nAC-GAN result:\n![](./images/acgan-result.png)\n![](./images/acgan-result-01.png)\n\nYou can get detailed information in [GAN的理解与TF的实现](http://hacker.duanshishi.com/?p=1766)\n\n\n## DeepColor\n\nThe images from [safebooru.org](http://safebooru.org), you can download from the baidu yunpan [https://pan.baidu.com/s/1c1HOIHU](https://pan.baidu.com/s/1c1HOIHU).\n\n![](./images/mac_blogs_deepcolor-01.png)\n\nThe results:\n![](./images/mac_blogs_deepcolor-03.png)\n\n\ndetails in [CGAN之deepcolor实践](http://www.duanshishi.com/?p=1791)\n\n\n## Text Classifer\n\nYou can get the detail information in [自然语言处理第一番之文本分类器](http://hacker.duanshishi.com/?p=1805).\nClassic methods such as Word Count Distribution and TF-IDF and DeepLearning Methods based CNN and C-LSTM are provided in [nlp/text_classifier](https://github.com/burness/tensorflow-101/tree/master/nlp/text_classifier)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fburness%2Ftensorflow-101","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fburness%2Ftensorflow-101","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fburness%2Ftensorflow-101/lists"}