MACHINE LEARNING INTRODUCTION

-

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

Comments

Post a Comment

Popular posts from this blog

MACHINE LEARNING IN REAL WORLD

-
Image
Machine Learning along with AI is used in many real world applications categorized as follows 1.Self Driving Cars 2.Health Industries 3.Snap chat Application 4.Facial Recognition 5.Crime Investigations 6.Web Series 7.Robotics 8.Speech Recognition 9.Self automated machines like Atms 10.Traffic Detection & Weather forecasting Self Driving cars: The applications that run the infotainment system of a car can receive the information from sensor data fusion systems and for example, have the capability to direct the car to a hospital if it notices that something is not right with the driver. This application based on machine learning also includes the driver’s speech and gesture recognition and language translation. The algorithms are classified as an unsupervised and supervised algorithms. Health Industries: ML is used by Doctors in hospitals in diagnosing the images that are taken in XRAYS, ULTRASOUNDSCAN images and MRI images helpful for diagnosing the disease.
Read more

SERVLET PROGRAM TO DISPLAY DATE AND TIME

-
import java.io.IOException; import java.io.PrintWriter; import javax.servlet.ServletException; import javax.servlet.http.HttpServlet; import java.util.*; import javax.servlet.*; public class NewServlet extends HttpServlet  {     public void service(ServletRequest request, ServletResponse response)             throws ServletException, IOException  {         response.setContentType("text/html;charset=UTF-8");       PrintWriter out=response.getWriter();       Date d=new Date();       String s=d.toString();       out.println("<b>Date and Time:"+s+"</b>");       out.close();                    }     }
Read more