Deep Learning is about learning multiple levels of representation and abstraction that help to make sense of data such as images, sound, and text. In practical terms, deep learning is just a subset of machine learning. It technically is machine learning and functions in a similar way (hence why the terms are sometimes loosely interchanged), but its capabilities are different. Basic machine learning models do become progressively better at whatever their function is, but they still need some guidance. If an ML algorithm returns an inaccurate prediction, then an engineer needs to step in and make adjustments. But with a deep learning model, the algorithms can determine on their own if a prediction is accurate or not. A deep learning model is able to learn through its own method of computing –its own― brain.
Dr. Preethi Nanjundan received her Ph.D degree in Semantic Web and was awarded “Highly Commended” from Bharathiar University, Coimbatore, India. Her research interests are Semantic web, Machine learning, Deep Learning etc.
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LAP LAMBERT Academic Publishing
Deep Learning, Deep Networks, Convolutional neural networks, Natural Language Processing, Deep Reinforcement Learning, Deep Reinforcement Learning etc
TECHNOLOGY / General