{"id":13435247,"url":"https://github.com/himanshurawlani/practical_intro_to_tf2","last_synced_at":"2025-03-18T02:31:33.311Z","repository":{"id":121601493,"uuid":"174863233","full_name":"himanshurawlani/practical_intro_to_tf2","owner":"himanshurawlani","description":"Building an image classifier in TF2","archived":false,"fork":false,"pushed_at":"2019-12-28T18:14:50.000Z","size":46028,"stargazers_count":55,"open_issues_count":0,"forks_count":22,"subscribers_count":3,"default_branch":"master","last_synced_at":"2024-08-01T03:14:39.906Z","etag":null,"topics":["image-classifier","tensorflow","tensorflow-2","tensorflow-datasets","tensorflow-serving","tf-keras"],"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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/himanshurawlani.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2019-03-10T18:23:34.000Z","updated_at":"2022-10-07T07:30:56.000Z","dependencies_parsed_at":null,"dependency_job_id":"79f269e7-a4d1-4e39-9dc4-0227e4d46f86","html_url":"https://github.com/himanshurawlani/practical_intro_to_tf2","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/himanshurawlani%2Fpractical_intro_to_tf2","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himanshurawlani%2Fpractical_intro_to_tf2/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himanshurawlani%2Fpractical_intro_to_tf2/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himanshurawlani%2Fpractical_intro_to_tf2/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/himanshurawlani","download_url":"https://codeload.github.com/himanshurawlani/practical_intro_to_tf2/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":221704700,"owners_count":16866815,"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":["image-classifier","tensorflow","tensorflow-2","tensorflow-datasets","tensorflow-serving","tf-keras"],"created_at":"2024-07-31T03:00:34.183Z","updated_at":"2024-10-27T16:32:15.002Z","avatar_url":"https://github.com/himanshurawlani.png","language":"Jupyter Notebook","funding_links":[],"categories":["Sample Codes / Projects \u003ca name=\"sample\" /\u003e ⛏️📐📁"],"sub_categories":["General 🚧 \u003ca name=\"GeneralCode\" /\u003e"],"readme":"# Practical Introduction to TensorFlow 2.0\nThis repository introduces the new Tensorflow 2.0 in a practical way by building an image classifier which classifies 5 classes of flowers. It covers the following:\n1. Downloading and preprocessing data using TensorFlow Datasets\n* Checking out available datasets and their features\n* Downloading the dataset (tfds.load()))\n* Pre-processing the dataset\n* Visualizing the dataset\n\n2. Building and training an image classifier model using Keras high level API\n* Building a simple CNN in Keras\n* Visualising the model\n* Compiling and training the model\n* Training the model using data augmentation\n* Using TensorBoard inside notebooks\n\n3. Downloading and fine-tuning InceptionV3 pre-trained model\n* Downloading pre-trained model\n* Adding classification head\n* Training the classification head\n* Fine tuning the model\n\n4. Serving the trained model using TensorFlow Serving\n* Tensorflow Serving installation\n* Starting TensorFlow Serving\n* Making REST requests\n* Parsing the response\n\nRead the Medium article explaining the above concepts in detail [here](https://medium.com/@himanshurawlani/getting-started-with-tensorflow-2-0-faf5428febae?source=friends_link\u0026sk=216dd7c2de38e8344737221768126b14).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhimanshurawlani%2Fpractical_intro_to_tf2","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhimanshurawlani%2Fpractical_intro_to_tf2","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhimanshurawlani%2Fpractical_intro_to_tf2/lists"}