Smarter Artificial Intelligence with Deep Learning
|International Journal of Computer Science and Engineering|
|© 2018 by SSRG - IJCSE Journal|
|Volume 5 Issue 6|
|Year of Publication : 2018|
|Authors : Dr.V.V.Narendra Kumar, T.Satish Kumar|
How to Cite?
Dr.V.V.Narendra Kumar, T.Satish Kumar, "Smarter Artificial Intelligence with Deep Learning," SSRG International Journal of Computer Science and Engineering , vol. 5, no. 6, pp. 10-16, 2018. Crossref, https://doi.org/10.14445/23488387/IJCSE-V5I6P102
The unpredictable growth in large-scale computing capabilities, availability of large datasets, and advancements in learning techniques etc. made it necessary for Deep Learning. The rapid growth in the mentioned areasresulted in varied deep learning frameworks. But there are several inefficiencies in these frameworks in user and developer point of view.Moreover, adopting useful techniques across frameworks in performing learning tasks and optimizingperformance has become very essential. Deep learning (DL) is a set of diversified approacheswhere machine learning can be innovative and to helping computers to usebig data i.e., huge amounts of data which is in the form of text, images and sound. Deep networks can be trained with vast amounts of data using deep learning algorithms. High level abstractions in data can be modelled using deep learning based on a set of algorithms. It is a new research area where Machine Learning can be drawn nearer to Artificial Intelligence. DL is used in various fields for achieving multiple levels of abstraction like sound, text, images feature extraction etc. Deep Learning is used by popular search engines like Google in its voice and image recognition algorithms, and by Netflix and e-commerce websites like Amazon, to decide what consumer wants to buy next, and even by researchers at MIT in predicting the future. Hence Deep Learning gained much significance in recent days. Many Universities started various courses in Deep Learning which indicates the importance of Deep Learning in the academic world.
Deep learning, deep machine learning, Supervised Learning, Artificial Intelligence, Artificial Neural Networks
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