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Self-supervised Learning is the solution for the limitations of Deep learning like requirement of large amount of data for huge computation process.
Over the years the integration of AI technology in day to day life has rendered humans to function feasibly. Applications such as Chatbots, Virtual Assistance, online translators are heavily influenced by the concept of Deep Learning. Amazon’s Alexa, Apple’s Siri, Google’s assistant are some of the examples heavily governed by deep learning.
However, despite its everyday use, Deep Learning tend to have shortcomings, which have been discussed by experts over the years.
What is Deep Learning?
Deep Learning is a branch of machine learning where artificial neural networks in the form of algorithms and inspired by human brain learn from large amount of data that requires high computation process.
The Neural Network algorithm , is a network of functions that understands and translates the input data of one form into that of desired output. This works in the form of neuron of the brain.
Though, Deep Learning does not require human assistance, but it does require strong computing processes that requires large amount of data, that has been viewed as one of the limitations by experts.
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