Deep learning techniques provide a powerful framework for understanding and analyzing large and complex datasets. One of the key advantages of deep learning lies in its ability to learn advanced data representations by leveraging deep artificial neural networks.
For example, Deep Neural Networks (DNNs) are utilized in developing data-driven models for future prediction and classification of images, audio, and text. Additionally, Convolutional Neural Networks (CNNs) are widely used in direct image and video analysis as well as text analysis.
These deep techniques enable performance improvements across various domains including object recognition, machine translation, image synthesis, and automated learning.