csyanbin / deeplearning-mindmap

A mindmap summarising Deep Learning concepts.

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Deep Learning Mindmap / Cheatsheet

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.

Download

Download the PDF here:

1. Concepts

A partial list of the building blocks of Deep Learning architectures, with notes on the mathematics behind each component. alt text

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. alt text

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. alt text

About Me

https://www.linkedin.com/in/danielmartinezformoso/

About

A mindmap summarising Deep Learning concepts.

License:Apache License 2.0