Understanding the Complexities
Neural networks are powerful tools used for a variety of tasks, from image recognition to language processing. They mimic the way human brains operate, learning from examples to perform specific tasks.
The advancement in neural network architectures includes the introduction of new layers, activation functions and optimization algorithms that lead to more robust and efficient models.
Popular Architectures
- Convolutional Neural Networks (CNNs) for image processing
- Recurrent Neural Networks (RNNs) for sequence prediction
- Transformers for attention mechanisms
- Generative Adversarial Networks (GANs) for creativity