AI Architectures Overview 🧠

Artificial Intelligence (AI) relies on diverse architectural frameworks to solve complex tasks. Below are key AI architectures and their applications:

1. Neural Networks

• Convolutional Neural Network (CNN) 🤖
  Ideal for image recognition. View example

  

• Recurrent Neural Network (RNN) 🔄
  Processes sequential data like text or time series.

  

• Transformer Model 🔄
  Revolutionized NLP with self-attention mechanisms.

  

2. Deep Learning Architectures

• Autoencoders 🔍
  Used for unsupervised learning and data compression.

  

• Generative Adversarial Networks (GANs) 🎨
  Combine generators and discriminators for creative tasks.

  

3. Hybrid Models

• BERT (Bidirectional Encoder Representations) 🔄
  Pre-trained language model for contextual understanding.

  

• YOLO (You Only Look Once) 🕵️‍♂️
  Real-time object detection system.

  

For deeper insights, explore our AI Tutorial Section. 🚀