Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A mindmap summarising Deep Learning concepts.
| Date | Stars |
|---|---|
| 2026-07-31 | 1703 |
| 2026-08-02 | 1703 |
| 2026-08-06 | 1703 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Deep Learning Mindmap / Cheatsheet - BETA A Mindmap summarising Deep Learning concepts, Architectures, and the Tensorflow library. ## Overview Deep 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. ## Mindmap on Data Science Here's another mindmap which focuses on Machine Learning basics and Data Science. - https://github.com/dformoso/machine-learning-mindmap ## Download Download the PDF here: - https://github.com/dformoso/deeplearning-mindmap/blob/master/Deep%20Learning.pdf I've built the mindmap with MindNode for the Mac. https://mindnode.com ## 1. Concepts A partial list of the building blocks of Deep Learning architectures, with notes on the mathematics behind each component.  ## 2. Architectures Different Deep Learning architectures have been developed depending on the question being answered. Here's a list of some of them and notes on tuning.  ## 3. Tensorflow TensorFlow is an open source software library for numerical computation using data flow graphs. The mindmap lists some of its components, packages, and overall architecture.  ## References I'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. - Stanford and Oxford Lectures. CS20SI, CS224d. - Books: - Deep Learning - Goodfellow. - Pattern Recognition and Machine Learning - Bishop. - The Elements of Statistical Learning - Hastie. - Colah's Blog. http://colah.github.io - Kaggle Notebooks. - Tensorflow Documentation pages. - Google Cloud Data Engineer certification materials. - Multiple Wikipedia articles. ## About Me Twitter: - https://twitter.com/danielmartinezf Linkedin: - https://www.linkedin.com/in/danielmartinezformoso/ Email: - [email protected]
Excerpt of 2,287 characters
Read on GitHub
Daniel Martinez Formoso · Google · Australia
12
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b9a903db837e1b68, topic:learning, readme:a list of, readme:cheatsheet