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Deep Learning is the Core Method of Machine Learning

EasyChair Preprint no. 12653

4 pagesDate: March 21, 2024

Abstract

Machine learning is a method used to devise complex models and algorithms in commercial use. Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of learning methods based on learning data representations, as opposed to task-specific algorithms. Deep Learning can be supervised, partially supervised or unsupervised. An effective machine learning is difficult because finding patterns is hard and often not enough training data is available. If we use the Deep learning method then it will not as difficult as we think even it’s much easier than other learning system. Deep learning is a subset of machine learning, and machine learning is a subset of AI, which is an umbrella term for any computer program that does something smart

Keyphrases: Convolutional Neural Network (CNN), deep learning, machine learning, Max Pooling, supervised and unsupervised learning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:12653,
  author = {Vishnu Vardhan Bollineni and Nidhi Shah},
  title = {Deep Learning is the Core Method of Machine Learning},
  howpublished = {EasyChair Preprint no. 12653},

  year = {EasyChair, 2024}}
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