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https://github.com/the-ai-summer/deep-learning-visuals

A collection of 100 Deep Learning images and visualizations
https://github.com/the-ai-summer/deep-learning-visuals

artificial-intelligence attention autoencoder convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-network machine-learning ml neural-networks recurrent-neural-networks transformer

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A collection of 100 Deep Learning images and visualizations

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# Deep Learning visuals

A collection of Deep Learning images and visualizations. The project has been developed by the [AI Summer](https://theaisummer.com/) team and currently contains almost **100 images**.

- Articles for the [AI Summer](https://theaisummer.com/) blog
- [Introduction to Deep Learning & Neural Networks](https://www.educative.io/courses/intro-deep-learning) course in educative.io
- Upcoming [Deep Learning in Production book](https://github.com/The-AI-Summer/Deep-Learning-In-Production)
- Upcoming Introduction to Deep Learning book

This repository was inspired by:

- [ml-visuals](https://github.com/dair-ai/ml-visuals) repository maintained by [dair.ai](https://dair.ai/)
- [dl-visuals](https://github.com/dvgodoy/dl-visuals) repository maintained by [Daniel Voigt Godoy](https://github.com/dvgodoy)

The images have been created using [https://www.diagrams.net/](https://www.diagrams.net/) over the past years.

## Contents

- [Activation functions](https://github.com/The-AI-Summer/deep-learning-visuals/tree/main/Activation%20functions)
- [Attention](https://github.com/The-AI-Summer/deep-learning-visuals/tree/main/Attention)
- [Autoencoders](https://github.com/The-AI-Summer/deep-learning-visuals/tree/main/Autoencoders)
- [Convolutional Neural Networks](https://github.com/The-AI-Summer/deep-learning-visuals/tree/main/Convolutional%20Neural%20Networks)
- [Dropout](https://github.com/The-AI-Summer/deep-learning-visuals/tree/main/Dropout)
- [Generative Adversarial Networks](https://github.com/The-AI-Summer/deep-learning-visuals/tree/main/Generative%20Adversarial%20Networks)
- [Generative Learning](https://github.com/The-AI-Summer/deep-learning-visuals/tree/main/Generative%20Learning)
- [Graph Neural Networks](https://github.com/The-AI-Summer/deep-learning-visuals/tree/main/Graph%20Neural%20Networks)
- [Linear classifiers](https://github.com/The-AI-Summer/deep-learning-visuals/tree/main/Linear%20classifiers)
- [Neural Networks](https://github.com/The-AI-Summer/deep-learning-visuals/tree/main/Neural%20Networks)
- [Normalization](https://github.com/The-AI-Summer/deep-learning-visuals/tree/main/Normalization)
- [Optimization](https://github.com/The-AI-Summer/deep-learning-visuals/tree/main/Optimization)
- [Recurrent Neural Networks](https://github.com/The-AI-Summer/deep-learning-visuals/tree/main/Recurrent%20Neural%20Networks)
- [Sequence processing](https://github.com/The-AI-Summer/deep-learning-visuals/tree/main/Sequence%20processing)
- [Transformers](https://github.com/The-AI-Summer/deep-learning-visuals/tree/main/Transformers)

## Can I use them?

Of course. You are allowed to use the images anywhere you like ( even for commercial use), as long as you attribute AI Summer.

## Examples

### Vision Transformer

![](https://github.com/The-AI-Summer/deep-learning-visuals/blob/main/Transformers/vit.png)

### Inception block

![](https://github.com/The-AI-Summer/deep-learning-visuals/blob/main/Convolutional%20Neural%20Networks/inception-block.png)

### Layer normalization

![](https://github.com/The-AI-Summer/deep-learning-visuals/blob/main/Normalization/layer-normalization.png)

### Graph convolution

![](https://github.com/The-AI-Summer/deep-learning-visuals/blob/main/Graph%20Neural%20Networks/graph-convolution.png)