{"id":13584482,"url":"https://github.com/dformoso/deeplearning-mindmap","last_synced_at":"2025-05-16T05:07:43.462Z","repository":{"id":37735026,"uuid":"100668875","full_name":"dformoso/deeplearning-mindmap","owner":"dformoso","description":"A mindmap summarising Deep Learning concepts.","archived":false,"fork":false,"pushed_at":"2019-05-14T09:26:58.000Z","size":14633,"stargazers_count":1673,"open_issues_count":4,"forks_count":358,"subscribers_count":90,"default_branch":"master","last_synced_at":"2025-04-08T15:11:52.908Z","etag":null,"topics":["cheatsheet","data","deep","jupyter","learning","mindmap","python","science"],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dformoso.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":"2017-08-18T03:24:56.000Z","updated_at":"2025-03-31T05:27:56.000Z","dependencies_parsed_at":"2022-07-12T15:18:14.522Z","dependency_job_id":null,"html_url":"https://github.com/dformoso/deeplearning-mindmap","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/dformoso%2Fdeeplearning-mindmap","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dformoso%2Fdeeplearning-mindmap/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dformoso%2Fdeeplearning-mindmap/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dformoso%2Fdeeplearning-mindmap/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dformoso","download_url":"https://codeload.github.com/dformoso/deeplearning-mindmap/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254471059,"owners_count":22076585,"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":["cheatsheet","data","deep","jupyter","learning","mindmap","python","science"],"created_at":"2024-08-01T15:04:17.434Z","updated_at":"2025-05-16T05:07:38.442Z","avatar_url":"https://github.com/dformoso.png","language":null,"readme":"# Deep Learning Mindmap / Cheatsheet - BETA\nA Mindmap summarising Deep Learning concepts, Architectures, and the Tensorflow library.\n\n## Overview\nDeep Learning is part of a broader family of Machine Learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, partially supervised, or unsupervised. This is an attempt to summarize this large field in one .PDF file.\n\n## Mindmap on Data Science\nHere's another mindmap which focuses on Machine Learning basics and Data Science.\n- https://github.com/dformoso/machine-learning-mindmap\n\n## Download\nDownload the PDF here:\n- https://github.com/dformoso/deeplearning-mindmap/blob/master/Deep%20Learning.pdf\n\nI've built the mindmap with MindNode for the Mac. https://mindnode.com\n\n## 1. Concepts\nA partial list of the building blocks of Deep Learning architectures, with notes on the mathematics behind each component.\n\n![alt text](https://github.com/dformoso/deeplearning-mindmap/blob/master/images/concepts.png)\n\n## 2. Architectures\nDifferent Deep Learning architectures have been developed depending on the question being answered. Here's a list of some of them and notes on tuning.\n\n![alt text](https://github.com/dformoso/deeplearning-mindmap/blob/master/images/architecture.png)\n\n## 3. Tensorflow\nTensorFlow is an open source software library for numerical computation using data flow graphs. The mindmap lists some of its components, packages, and overall architecture.\n\n![alt text](https://github.com/dformoso/deeplearning-mindmap/blob/master/images/tensorflow.png)\n\n\n## References\nI'm planning to built a more complete list of references in the future. For now, these are some of the sources I've used to create this Mindmap.\n\n- Stanford and Oxford Lectures. CS20SI, CS224d.\n- Books: \n  - Deep Learning - Goodfellow. \n  - Pattern Recognition and Machine Learning - Bishop. \n  - The Elements of Statistical Learning - Hastie.\n- Colah's Blog. http://colah.github.io\n- Kaggle Notebooks.\n- Tensorflow Documentation pages.\n- Google Cloud Data Engineer certification materials.\n- Multiple Wikipedia articles.\n\n\n## About Me\nTwitter:\n- https://twitter.com/danielmartinezf\n\nLinkedin:\n- https://www.linkedin.com/in/danielmartinezformoso/\n\nEmail:\n- daniel.martinez.formoso@gmail.com\n","funding_links":[],"categories":["Others"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdformoso%2Fdeeplearning-mindmap","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdformoso%2Fdeeplearning-mindmap","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdformoso%2Fdeeplearning-mindmap/lists"}