<ul><li>Deep learning is a branch of AI that automatically extracts features from raw data through multiple layers of abstraction using neural networks inspired by the human brain's structure.</li><li>Key types of neural networks include Feedforward Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers, each designed for specific data types like images or sequential data.</li><li>Common challenges in deep learning are underfitting and overfitting, with solutions like transfer learning, Generative Adversarial Networks (GANs), self-supervised learning, attention mechanisms, and Explainable AI (XAI) to improve model performance and interpretability.</li></ul>

Deep Learning: From Fundamentals to Advanced Concepts

Discover more