dformoso/deeplearning-mindmap

A mindmap summarising Deep Learning concepts.

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]

deeplearning-mindmap's Issues

Please use an open format

Please use an open format, so people can contribute.

image files trimmed

PNG files in images folder are trimmed at right and left edges and some details are thrown away.

Nice Job!
Ali

Please add references

I think that some references are missing. Given that the graph is distributed under apache license, I think there are to key points:

1. References of the authos/concepts (Who invented what, what are good further reading materials etc.)
2. Pictures/Graphs used within the mindmap (e.g. colah, wiki?)

nice idea!

best greeetings,
Daniel

White version of MindMap

Can you please add a white background version of this PDF the way you did for the "Machine Learning" one? The black background makes it really hard to read.