{"id":20782453,"url":"https://github.com/awjuliani/tf-tutorials","last_synced_at":"2025-04-05T13:08:34.772Z","repository":{"id":104832955,"uuid":"55734370","full_name":"awjuliani/TF-Tutorials","owner":"awjuliani","description":"A collection of deep learning tutorials using Tensorflow and Python","archived":false,"fork":false,"pushed_at":"2017-03-26T18:07:38.000Z","size":1219,"stargazers_count":522,"open_issues_count":3,"forks_count":188,"subscribers_count":36,"default_branch":"master","last_synced_at":"2025-03-29T12:08:49.576Z","etag":null,"topics":["gan","resnet","tensorflow"],"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/awjuliani.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":"2016-04-07T23:17:06.000Z","updated_at":"2025-03-23T03:01:44.000Z","dependencies_parsed_at":null,"dependency_job_id":"6db19b66-7b10-475b-ba9f-8019affb3dfe","html_url":"https://github.com/awjuliani/TF-Tutorials","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/awjuliani%2FTF-Tutorials","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/awjuliani%2FTF-Tutorials/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/awjuliani%2FTF-Tutorials/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/awjuliani%2FTF-Tutorials/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/awjuliani","download_url":"https://codeload.github.com/awjuliani/TF-Tutorials/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247339158,"owners_count":20923014,"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":["gan","resnet","tensorflow"],"created_at":"2024-11-17T14:11:16.336Z","updated_at":"2025-04-05T13:08:34.751Z","avatar_url":"https://github.com/awjuliani.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"#Tensorflow Tutorials\nThis repository contains a collection of miscellaneous Jupyter notebooks which implement or provide a tutorial on a different Deep Learning topic. \nAll models are implemented in Tesnorflow.\n\n* **DCGAN** - An implementation of Deep Convolutional Generative Adversarial Network.\n* **InfoGAN** An implementation of InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets\n* **Deep Layer Visualization** - Tutorial on visualizing intermediate layer activation during MNIST classification.\n* **Deep Network Comparison** - Implementations of ResNet, HighwayNet, and DenseNet, for CIFAR10 classification.\n* **RNN-TF** - Tutorial on implementing basic RNN in tensorflow.\n* **t-SNE Tutorial** - Tutorial on using t-SNE to visualize intermediate layer representation during MNIST classification task.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fawjuliani%2Ftf-tutorials","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fawjuliani%2Ftf-tutorials","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fawjuliani%2Ftf-tutorials/lists"}