{"id":13477723,"url":"https://github.com/dvgodoy/dl-visuals","last_synced_at":"2026-02-23T20:16:11.397Z","repository":{"id":44388509,"uuid":"369182484","full_name":"dvgodoy/dl-visuals","owner":"dvgodoy","description":"Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.","archived":false,"fork":false,"pushed_at":"2021-07-11T18:43:02.000Z","size":9263,"stargazers_count":1407,"open_issues_count":2,"forks_count":122,"subscribers_count":32,"default_branch":"main","last_synced_at":"2025-01-28T15:49:30.270Z","etag":null,"topics":["cc-by","deep-learning","design","diagrams","neural-networks"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dvgodoy.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}},"created_at":"2021-05-20T11:20:16.000Z","updated_at":"2025-01-26T17:23:40.000Z","dependencies_parsed_at":"2022-07-15T00:45:58.608Z","dependency_job_id":null,"html_url":"https://github.com/dvgodoy/dl-visuals","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/dvgodoy%2Fdl-visuals","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dvgodoy%2Fdl-visuals/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dvgodoy%2Fdl-visuals/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dvgodoy%2Fdl-visuals/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dvgodoy","download_url":"https://codeload.github.com/dvgodoy/dl-visuals/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245079452,"owners_count":20557477,"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":["cc-by","deep-learning","design","diagrams","neural-networks"],"created_at":"2024-07-31T16:01:46.654Z","updated_at":"2025-10-30T03:13:42.871Z","avatar_url":"https://github.com/dvgodoy.png","language":null,"funding_links":[],"categories":["Others"],"sub_categories":[],"readme":"# Deep Learning Visuals\n\nShield: [![CC BY 4.0][cc-by-shield]][cc-by]\n\nThis repository was inspired by the [ML Visuals](https://github.com/dair-ai/ml-visuals) repository maintained by [dair.ai](https://dair.ai/).\n\n**Deep Learning Visuals** contains **215 unique images** divided in **23 categories** (some images may appear in more than one category). All the images were originally published in my book [\"Deep Learning with PyTorch Step-by-Step: A Beginner's Guide\"](https://leanpub.com/pytorch).\n\n## Can I Freely Use These Images?\n\nSure, these images can be FREELY USED in your own blog posts, slides, presentations, or papers under the CC-BY license.\n\n## Awesome, where are they?\n\nYou can easily navigate through the pages and indices, and click on the desired image to visualize it in full size:\n\n- [Activation Functions](https://dvgodoy.github.io/dl-visuals/Activation%20Functions)\n- [Architectures](https://dvgodoy.github.io/dl-visuals/Architectures)\n- [Assorted](https://dvgodoy.github.io/dl-visuals/Assorted)\n- [Attention](https://dvgodoy.github.io/dl-visuals/Attention)\n- [Batch Norm](https://dvgodoy.github.io/dl-visuals/BatchNorm)\n- [BERT](https://dvgodoy.github.io/dl-visuals/BERT)\n- [Classification](https://dvgodoy.github.io/dl-visuals/Classification)\n- [Convolutions](https://dvgodoy.github.io/dl-visuals/Convolutions)\n- [Decoder](https://dvgodoy.github.io/dl-visuals/Decoder)\n- [Dropout](https://dvgodoy.github.io/dl-visuals/Dropout)\n- [ELMo](https://dvgodoy.github.io/dl-visuals/ELMo)\n- [Encoder](https://dvgodoy.github.io/dl-visuals/Encoder)\n- [Feed-Forward Networks](https://dvgodoy.github.io/dl-visuals/Feed-Forward%20Networks)\n- [Gradient Descent](https://dvgodoy.github.io/dl-visuals/Gradient%20Descent)\n- [Initializations and Gradient Clipping](https://dvgodoy.github.io/dl-visuals/Initializations%20and%20Clipping)\n- [LayerNorm](https://dvgodoy.github.io/dl-visuals/LayerNorm)\n- [Optimizers and Schedulers](https://dvgodoy.github.io/dl-visuals/Optimizers%20and%20Schedulers)\n- [Patch Embeddings](https://dvgodoy.github.io/dl-visuals/Patch%20Embeddings)\n- [Positional Encoding](https://dvgodoy.github.io/dl-visuals/Positional%20Encoding)\n- [RNNs](https://dvgodoy.github.io/dl-visuals/RNNs)\n- [Seq2Seq](https://dvgodoy.github.io/dl-visuals/Seq2Seq)\n- [Transformers](https://dvgodoy.github.io/dl-visuals/Transformers)\n\n## How Can I Use Them?\n\n**DISCLAIMER: this is NOT legal advice, you should always read the license yourself!**\n\nIn a nutshell, you're allowed to use (or adapt) these images in your own materials, even for commercial purposes, as long as you attribute it.\n\nHere is a quick guide on [Best Practices for Attribution](https://wiki.creativecommons.org/wiki/best_practices_for_attribution).\n\nHere are some examples of both images and attributions:\n\n### Logistic Regression\n\n![](https://raw.githubusercontent.com/dvgodoy/dl-visuals/main/Classification/logistic_model.png)\n\nImage by [dvgodoy](https://github.com/dvgodoy/dl-visuals) / [CC BY](https://creativecommons.org/licenses/by/4.0/)\n\n### RNN\n\n![](https://raw.githubusercontent.com/dvgodoy/dl-visuals/main/RNNs/rnn2.png)\nImage by [dvgodoy](https://github.com/dvgodoy/dl-visuals) / [CC BY](https://creativecommons.org/licenses/by/4.0/)\n\n### Transformer\n\n![](https://raw.githubusercontent.com/dvgodoy/dl-visuals/main/Transformers/full_transformer.png)\nImage by [dvgodoy](https://github.com/dvgodoy/dl-visuals) / [CC BY](https://creativecommons.org/licenses/by/4.0/)\n\nThis work is licensed under a\n[Creative Commons Attribution 4.0 International License][cc-by].\n\n[![CC BY 4.0][cc-by-image]][cc-by]\n\n[cc-by]: http://creativecommons.org/licenses/by/4.0/\n[cc-by-image]: https://i.creativecommons.org/l/by/4.0/88x31.png\n[cc-by-shield]: https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdvgodoy%2Fdl-visuals","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdvgodoy%2Fdl-visuals","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdvgodoy%2Fdl-visuals/lists"}