Understanding Machine Learning and Neural Networks

Machine learning involves using algorithms to characterize data on a machine, while neural networks, a subfield of machine learning, employ multi-layer models known as deep learning networks. These deep learning networks analyze data in a hierarchical manner, starting with basic elements at lower layers and progressing to more complex features at higher layers. Analogous to language processing, the network learns to recognize patterns in images by identifying primitive elements like pixels, forming motifs and combinations of motifs to interpret the image.