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Deep Learning, AI and Natural Language Processing mind maps

28 mind maps by 26 users

This page gathers mind maps on machine learning, neural networks and natural language processing. The resources are mainly for university-level study, helping university students explore these topics and teachers find material for their classes. There are over 20 user-made mind maps. Pick a map and follow its branches.

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More Deep Learning, AI and Natural Language Processing resources

All Deep Learning, AI and Natural Language Processing resources

About deep learning, ai and natural language processing mind maps

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Deep Learning, AI and Natural Language Processing mind maps

These maps offer different ways into the unit. The Machine Learning maps include branches on supervised, unsupervised and reinforcement learning. Deep Learning maps cover topics such as neural networks, training and optimisation. Other maps focus on models, including DCGAN and Variational Auto-Encoder (VAE).

How to use the maps

For a starting point, try a Machine Learning map that separates the learning types. Its branches give you a structure for exploring methods such as classification and clustering. Then use Word Embeddings to look at how words and documents can be represented in vector space.

For language tasks, eScience Neural NLP includes branches on sentiment analysis and machine translation. Read a branch, then try to recall its main points before checking the map again. If you want to test your recall in another format, switch to flashcards or a quiz on the unit page. Choose a map to start exploring.

Frequently asked questions

Which mind map is a useful place to start?

A Machine Learning map is a useful starting point if you want an overview of learning types. The page has several maps with that title, including one with branches on supervised, unsupervised and reinforcement learning, as well as classification, regression and clustering.

Are these mind maps free to use?

Yes. Every mind map listed here is free to open and study, and you do not need an account. The resources were made by GoConqr users. A free account also lets you make your own mind maps, flashcards, notes and quizzes, and save quiz scores.

What language-processing topics do the maps cover?

The maps include language tasks, word embeddings and text features. eScience Neural NLP has branches on semantic role labelling, sentiment analysis and machine translation. There are also maps on tokenisation and on lexical, syntactic and semantic features, so you can focus on a particular part of the unit.

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