Deep learning provides many advantages, a few of them are

Deep learning algorithms can learn from large amounts of data, which allows them to improve their performance over time.

Learn large data

Deep learning algorithms can learn to recognize patterns and relationships in data without being explicitly programmed to do so

Learn without  explicitly programmed

Deep learning algorithms can continue to learn and adapt over time, which allows them to improve their performance

Learn and adapt over time

Deep learning algorithms tend to improve as they are exposed to more data, which allows them to continue to learn and adapt over time.

improve with more data

Deep learning algorithms can learn from unstructured data such as images, audio, and text,etc

Learn from unstructured data

Deep learning algorithms are well-suited for handling high-dimensional data, such as images.

handle high-dimensional data

Disadvantages of deep learning