{"id":23450774,"url":"https://github.com/basedrhys/i2k-tutorial","last_synced_at":"2026-02-15T15:46:47.994Z","repository":{"id":129516423,"uuid":"314477551","full_name":"basedrhys/I2K-Tutorial","owner":"basedrhys","description":"Tutorial Assets and Guides for the 2020 I2K WekaDeeplearning4j tutorial","archived":false,"fork":false,"pushed_at":"2020-12-08T01:47:53.000Z","size":4040,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-10-04T09:47:48.807Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"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/basedrhys.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":"2020-11-20T07:24:04.000Z","updated_at":"2020-12-08T01:47:55.000Z","dependencies_parsed_at":"2023-04-20T22:54:17.206Z","dependency_job_id":null,"html_url":"https://github.com/basedrhys/I2K-Tutorial","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/basedrhys/I2K-Tutorial","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/basedrhys%2FI2K-Tutorial","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/basedrhys%2FI2K-Tutorial/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/basedrhys%2FI2K-Tutorial/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/basedrhys%2FI2K-Tutorial/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/basedrhys","download_url":"https://codeload.github.com/basedrhys/I2K-Tutorial/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/basedrhys%2FI2K-Tutorial/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29482795,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-15T15:33:17.885Z","status":"ssl_error","status_checked_at":"2026-02-15T15:32:53.698Z","response_time":118,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":[],"created_at":"2024-12-24T00:15:05.554Z","updated_at":"2026-02-15T15:46:47.978Z","avatar_url":"https://github.com/basedrhys.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# I2K 2020 - WekaDeeplearning4j Tutorial\n\nWelcome to the **WekaDeeplearning4j** tutorial for I2K (Images to Knowledge) 2020! This repo contains the tutorial docs which showcase a number of features within **WekaDeeplearning4j** for image analysis and classification.\n\n## Asset Pack\nBefore you get started, check out the [asset pack download page](./0-asset_pack.md) for instructions on downloading the tutorial asset pack. This contains datasets and models you'll need for this tutorial.\n\n[Google Slides Link](https://docs.google.com/presentation/d/1IXKmsZV1366NVCAV-ev6ZESO_BYPD0dM_T6yoc_J2hU/edit?usp=sharing)\n\n## Table of Contents\n\nIt is recommended to view these tutorials on the [Github Pages site](https://basedrhys.github.io/I2K-Tutorial/).\n\n1. [Introduction \u0026 Setup](./1-introduction_setup.md)\n2. [**Training** with the `Dl4jMlpClassifier`](./2-training.md)\n3. [CNN **Feature Extraction** with the `Dl4jMlpFilter`](./3-feature_extraction.md)\n4. [**Model Inference** with the `Dl4jCNNExplorer`](./4-inference.md)\n\n## Contact Me\n\nIf you have any feedback on the tutorial/WekaDeeplearning4j, or just want to chat, feel free to get in touch with me via [Github](https://github.com/basedrhys), [LinkedIn](https://www.linkedin.com/in/rhyscompton-nz/), [Twitter](https://twitter.com/rhyscompton_nz), or Email (`rhys.compton@gmail.com`)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbasedrhys%2Fi2k-tutorial","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbasedrhys%2Fi2k-tutorial","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbasedrhys%2Fi2k-tutorial/lists"}