Neural networks are a type of machine learning algorithm that is inspired by the structure and function of the human brain. They are designed to recognize patterns in data and make predictions or decisions based on that data. Recently, advancements in neural network technology have led to remarkable achievements, with AI systems now able to match or even surpass human-level performance in various tasks. One of the key breakthroughs in neural networks is the development of deep learning, which involves the use of multiple hidden layers in the network. These hidden layers allow the network to extract increasingly complex features from the input data, enabling it to tackle more challenging problems. A prime example of this is the field of image recognition.