C Tech Study

  Deep Learning Tutorial In this tutorial, we will discuss the Deep Learning , and as the part of the deep learning, we will learn the following things that are as follows: 1)      Working of Deep Learning. 2)      Hardware Requirement for the Deep Learning. 3)      Methods related to Deep Learning. 4)      Various fields where deep learning is used. 5)      Limitations and challenges of Deep Learning.   What do you mean by Deep Learning? Deep Learning is considered one of the most common concepts in the modern computer world. “ Deep learning is an important part (subset)  of Machine Learning .  It is a neural network encapsulated with three or more layers where the respective neural network effectively simulates the behaviour related to the human brain. The neural network with a combination of single-layer can also help in the predictions (approximate). The additional hidden layers can also help to optimize and refine the accuracy to a greater extent. ” Furthermo

  An Introduction to Machine Learning In today’s modern and digital world, everything is done easily by an automatic process. In earlier days, technologies believe in manual work. Manual work done by humans is believed to be secure, error-free, and assures confidentiality.  As the human population rises, the need for technology also arises. Automatic processes are introduced to tackle complex problems and find accurate solutions. Work done by machines is called an automatic process. Is it possible that machines do their jobs similar to humans? Yes, it is possible with the concept called MachineLearning . What is the need for Machine Learning? Every suitable solution is found when the Necessity arises. Let’s have a look at the need for machine learning: 1.       To reduce the minor errors done in the manual process. 2.       The utilization of a large amount of time is reduced compared to the manual process. 3.       It takes the human generation to the next level of technol