> For the complete documentation index, see [llms.txt](https://apphp.gitbook.io/artificial-intelligence-with-php/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://apphp.gitbook.io/artificial-intelligence-with-php/neural-networks/types-of-nn/deep-learning.md).

# Deep Learning

<div align="left"><figure><img src="/files/zwGEhTVBWIgQgZ7iEa4U" alt="" width="563"><figcaption><p>Deep Learning</p></figcaption></figure></div>

• Neural Networks (NN): Inspired by the human brain, neural networks consist of layers of interconnected nodes (neurons). These networks are used for tasks like image and speech recognition.

• Convolutional Neural Networks (CNN): Specialized for image data, CNNs automatically detect and learn features like edges, textures, and objects.

• Recurrent Neural Networks (RNN): Used for sequential data, such as time series or natural language. RNNs can maintain information across time steps.

• Generative Adversarial Networks (GANs): Consist of two networks (generator and discriminator) competing against each other to create realistic synthetic data.