Neural networks are computational models inspired by the human brain, designed to solve complex problems and recognize patterns.Deep learning is a subfield of machine learning that utilizes neural networks with multiple layers for improved accuracy and performance.Combining different types of neural networks, such as CNNs and RNNs, is becoming a trend to address complex problems.Challenges in neural networks and deep learning include data accessibility, computational power requirements, ethical use, and interpretability.