Affiliation:
1. Velammal College of Engineering and Technology, India
2. Thiagarajar College of Engineering, India
Abstract
Machine learning is a technique of parsing data, learning from that data, and then applying what has been learned to make informed decisions. Deep learning is actually a subset of machine learning. It technically is machine learning and functions in the same way, but it has different capabilities. The main difference between deep and machine learning is, machine learning models become well progressively, but the model still needs some guidance. If a machine learning model returns an inaccurate prediction, then the programmer needs to fix that problem explicitly, but in the case of deep learning, the model does it by itself. Automatic car driving system is a good example of deep learning. On other hand, Artificial Intelligence is a different thing from machine learning and deep learning. Deep learning and machine learning both are the subsets of AI.
Reference40 articles.
1. Brain tumor segmentation using a generative model with an RBM prior on tumor shape;M.Agn;BrainLes,2015
2. Cancer diagnosis using modified fuzzy network.;E.Al-Daoud;Universal J. Comput. Sci.&Engg. Technol.,2010
3. Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks
4. Automatic detection of breast cancer mass in mammograms using morphological operators and fuzzy c—means Clustering.;S. S.Basha;Journal of Theoretical & Applied Information Technology,2009
5. Brosch, T., & Tam, R. (2013).Alzheimer’s Disease Neuroimaging Initiative. Manifold learning of brain MRIs by deep learning. In Proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 633-640). Springer.
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