Identify features of deep learning techniques

Deep learning is an advanced subset of machine learning that mimics the human brain’s way of learning through an artificial neural network structure. These networks consist of multiple layers of neurons that process data in a hierarchical manner, which is why the models are called deep neural networks (DNNs). Deep learning automates feature extraction from large volumes of unstructured data, such as images and text, significantly enhancing machine learning tasks’ accuracy and efficiency.

Unlike traditional machine learning, which relies on manual feature extraction, deep learning models learn to identify and differentiate data features automatically. This learning process requires significant computational power and data, utilizing backpropagation and optimization algorithms such as stochastic gradient descent to adjust neuron connections and minimize prediction errors.

Deep learning applications include regression,...