MACHINE LEARNING INTRODUCTION

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What is Deep Learning?

In this blog, I will be talking on What is Deep Learning which is a hot buzz nowadays and has firmly put down its roots in a vast multitude of industries that are investing in fields like Artificial Intelligence, Big Data and Analytics. For example, Google is using deep learning in its voice and image recognition algorithms whereas Netflix and Amazon are using it to understand the behavior of their customer. In fact, you won’t believe it, but researchers at MIT are trying to predict future using deep learning. Now, imagine how much potential deep learning has in revolutionizing the world and how the companies will look for the certified professionals in Deep Learning. Before talking about deep learning, one must understand its relationship with Machine Learning and Artificial Intelligence. The easiest way to understand this relationship is by going through the diagram below:
AI Timeline - What is Deep Learning - Edurekafig: What is Deep Learning – AI Technologies Timeline
Here, in the image you can see that the Machine Learning is a subset of AI. This implies for the fact that we can build intelligent machines that can learn based on provided data set on its own. Further you will notice that the Deep Learning is a subset of Machine Learning where similar Machine Learning Algorithms are used to train Deep Neural Networks so as to achieve better accuracy in those cases where former was not performing up to the mark. Following are the topics that I am going to discuss in this deep learning tutorial:
  • Artificial Intelligence
  • Machine Learning
  • Drawbacks of ML
  • What is Deep Learning?
  • Deep Learning Application

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