{"id":18893049,"url":"https://github.com/dongjunlee/deeplearning-notebooks","last_synced_at":"2025-04-15T00:13:57.292Z","repository":{"id":236588772,"uuid":"56397956","full_name":"DongjunLee/DeepLearning-Notebooks","owner":"DongjunLee","description":"Deep Learning Notebooks Implements by TensorFlow, Python + numpy","archived":false,"fork":false,"pushed_at":"2017-05-03T09:24:48.000Z","size":1449,"stargazers_count":12,"open_issues_count":0,"forks_count":3,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-15T00:13:40.984Z","etag":null,"topics":["deep-learning","deeplearning-notebooks","notebook","python","tensorflow","tutorial"],"latest_commit_sha":null,"homepage":"","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/DongjunLee.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":"2016-04-16T17:56:02.000Z","updated_at":"2023-08-23T12:57:42.000Z","dependencies_parsed_at":null,"dependency_job_id":"7f6bddbb-ad4b-4a67-8d7d-0b51654bd037","html_url":"https://github.com/DongjunLee/DeepLearning-Notebooks","commit_stats":null,"previous_names":["dongjunlee/deeplearning-notebooks"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DongjunLee%2FDeepLearning-Notebooks","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DongjunLee%2FDeepLearning-Notebooks/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DongjunLee%2FDeepLearning-Notebooks/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DongjunLee%2FDeepLearning-Notebooks/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DongjunLee","download_url":"https://codeload.github.com/DongjunLee/DeepLearning-Notebooks/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248981271,"owners_count":21193147,"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","deeplearning-notebooks","notebook","python","tensorflow","tutorial"],"created_at":"2024-11-08T08:07:11.311Z","updated_at":"2025-04-15T00:13:57.285Z","avatar_url":"https://github.com/DongjunLee.png","language":"Jupyter Notebook","readme":"# DeepLearning Notebooks\n\nThese are deep learning examples implemented by TensorFlow, Python with Numpy. \n\n\n## Prerequisites\n\nAll python code are base on python3 and use jupyter notebook. \n\n- TensorFlow 1.0\n- Scikit Learn\n- matplotlib, Seaborn\n- Numpy\n- Pandas\n\n## DataSet\n\n1. [Boston Housing DataSet](https://archive.ics.uci.edu/ml/datasets/Housing)\n2. [Mnist](http://yann.lecun.com/exdb/mnist/)\n3. [CIFAR-10](https://www.cs.toronto.edu/~kriz/cifar.html)\n4. [iris](http://archive.ics.uci.edu/ml/datasets/Iris)\n5. [polarity dataset v2.0i (Movie Review)](http://www.cs.cornell.edu/people/pabo/movie-review-data/)\n\n## Contents\n\n**Python**, **TensorFlow** is minimal version.  \n**Exercise** is used model that mimicking scikit-learn's interface (fit, predict, etc...) and extended version from minimal.\n\n1. Linear Regression  \n    [ **Python** ](1.Linear_Regression/Python.ipynb)\n    |\n    [ **TensorFlow** ](1.Linear_Regression/TensorFlow.ipynb) \n    |\n    [ **Exercise** - Boston Housing(TensorFlow) ](1.Linear_Regression/Exercise-Boston_Housing_Problem(TensorFlow).ipynb)\n2. Logistic Regression  \n    [ **TensorFlow** ](2.Logistic_Regression/TensorFlow.ipynb) \n    |\n    [ **Exercies** - Iris(Python) ](2.Logistic_Regression/Iris(Python).ipynb) \n3. Neural Network  \n    - Two Layer Network:\n    [ **Python**) ](3.Neural_Network/Mnist(Python).ipynb) \n    |\n    [ AND, OR, XOR(Python)-2_Layer ](3.Neural_Network/AND,OR,XOR(Python)-2_Layer.ipynb) \n    - N Layer Network:\n    [ **Exercise** - AND, OR, XOR(Python)-N_Layer ](3.Neural_Network/AND,OR,XOR(Python)-N_Layer.ipynb), \n    [ **TensorFlow** ](3.Neural_Network/TensorFlow.ipynb)   \n4. Convolutional Neural Network  \n    [ **TensorFlow**(AlexNet) ](4.Convolution_Network/TensorFlow.ipynb) \n5. Recurrent Neural Network  \n    [ **TensorFlow** ](5.Recurrent_Neuarl_Network/Tensorflow-RNN.ipynb)\n6. Word2Vec  \n    [ **TensorFlow** ](6.Word2Vec/TensorFlow-Word2Vec_Basic.ipynb)\n7. CNN for Sentence Classification  \n    [ **PDF** ](http://aclweb.org/anthology/D/D14/D14-1181.pdf) \n    |\n    [ **TensorFlow** ](7.TextCNN/TensorFlow-TextCNN.ipynb)\n8. Char-RNN (a character-level language model to generate character sequences)  \n    [ **TensorFlow**(Obama-RNN) ](8.CharRNN/TensorFlow-Char-RNN.ipynb)\n9. Seq2Seq  \n\t [ **TensorFlow** ](9.Seq2Seq/TensorFlow.ipynb)\n10. Adversarial Neural Cryptography  \n\t [ **TensorFlow** ](10.Adversarial_Neural_Cryptography/TensorFlow.ipynb)\n\n## Reference\n\n- [CS231n Convolutional Neural Networks for Visual Recognition](http://cs231n.github.io/)\n- [CS224d: Deep Learning for Natural Language Processing](http://cs224d.stanford.edu/)\n- [TensorFlow Tutorial](https://www.tensorflow.org/tutorials/)\n- [WILDML](http://www.wildml.com/)\n- [R2RT](http://r2rt.com/)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdongjunlee%2Fdeeplearning-notebooks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdongjunlee%2Fdeeplearning-notebooks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdongjunlee%2Fdeeplearning-notebooks/lists"}