{"id":17594789,"url":"https://github.com/tgjeon/keras-tutorials","last_synced_at":"2025-04-09T14:14:47.600Z","repository":{"id":90561521,"uuid":"72804550","full_name":"tgjeon/Keras-Tutorials","owner":"tgjeon","description":"Simple tutorials using Keras Framework","archived":false,"fork":false,"pushed_at":"2017-03-15T02:14:32.000Z","size":514,"stargazers_count":267,"open_issues_count":1,"forks_count":137,"subscribers_count":13,"default_branch":"master","last_synced_at":"2025-04-02T08:32:06.568Z","etag":null,"topics":["deep-learning","feedforward-neural-network","keras","keras-tutorials","tensorflow"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/tgjeon.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}},"created_at":"2016-11-04T01:56:27.000Z","updated_at":"2024-11-22T15:08:38.000Z","dependencies_parsed_at":null,"dependency_job_id":"ec4de3a3-74c9-42f9-9a05-8c0124553825","html_url":"https://github.com/tgjeon/Keras-Tutorials","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tgjeon%2FKeras-Tutorials","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tgjeon%2FKeras-Tutorials/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tgjeon%2FKeras-Tutorials/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tgjeon%2FKeras-Tutorials/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tgjeon","download_url":"https://codeload.github.com/tgjeon/Keras-Tutorials/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248054193,"owners_count":21039952,"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":["deep-learning","feedforward-neural-network","keras","keras-tutorials","tensorflow"],"created_at":"2024-10-22T07:08:28.133Z","updated_at":"2025-04-09T14:14:47.579Z","avatar_url":"https://github.com/tgjeon.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Keras-Tutorials\n\nIntroduction to deep learning based on Keras framework. These tutorials are direct ports of nlintz's [TensorFlow Tutorials](https://github.com/nlintz/TensorFlow-Tutorials).\n\n*Basic Topics (from nlint'z github)*\n\n* Linear Regression ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/01_linear_regression.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/01_linear_regression.ipynb))\n* Logistic Regression ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/02_logistic_regression.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/02_logistic_regression.ipynb))\n* Feedforward Neural Network (Multilayer Perceptron) ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/03_net.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/03_net.ipynb))\n* Deep Feedforward Neural Network (Multilayer Perceptron with 2 Hidden Layers O.o) ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/04_modern_net.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/04_modern_net.ipynb))\n* Convolutional Neural Network ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/05_convolutional_net.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/05_convolutional_net.ipynb))\n* Denoising Autoencoder ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/06_autoencoder.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/06_autoencoder.ipynb))\n* Recurrent Neural Network (LSTM) ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/07_lstm.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/07_lstm.ipynb))\n* Word2vec\n* TensorBoard ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/09_tensorboard.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/09_tensorboard.ipynb))\n* Save and restore net ([code](https://github.com/tgjeon/Keras-Tutorials/blob/master/10_save_restore_net.py), [notebook](https://github.com/tgjeon/Keras-Tutorials/blob/master/10_save_restore_net.ipynb))\n\n*Advanced Topics*\n\n* Image classification\n* Object detection\n* Super-Resolution\n* Image captioning\n* Semantic segmentation\n\n\n\n*Note*\n* [Deep Learning Glossary](https://github.com/tgjeon/Keras-Tutorials/blob/master/DeepLearningGlossary.md) (for Korean)\n: This documentation is translated from blog post on wildml.com (with author's permission)\n\n*Dependencies*\n* [Keras v1.2.1](https://github.com/fchollet/keras)\n* [TensorFlow v0.12](https://github.com/tensorflow/tensorflow)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftgjeon%2Fkeras-tutorials","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftgjeon%2Fkeras-tutorials","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftgjeon%2Fkeras-tutorials/lists"}