Information technology is ruling over the 21st century. Now, veteran computer data scientists say that the concept of deep learning has become popular along with machine learning. Deep understanding is a group of techniques that allows machine learning to predict outputs from a set of inputs. The inputs are layered. Companies throughout the world have incorporated deep learning into their system. Certified professionals of deep understanding have good job prospects. Those who are applying for a deep learning interview for the first time or already faced several rounds of interviews for a deep learning role and not made the cut? need to prepare themselves for a basic understanding of new…
-
-
What is Perceptron – A Complete Study
Perceptron is a section of machine learning which is used to understand the concept of binary classifiers. It is a part of the neural grid system. In fact, it can be said that perceptron and neural networks are interconnected. Perceptron forms the basic foundation of the neural network which is the part of Deep Learning. It is viewed as building blocks within a single layer of the neural network. Perceptron consists of four different mathematical parts – First is input value or one input layer Second, the net sum Third, weight and bias Fourth, Activation function A neural network which is made up of perceptron can be defined as a…
-
A Complete Understanding of Data Science, AI, Machine Learning, & Deep Learning
You must have heard about these terms Data Science, Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning, and many more. But what do these terminologies really mean? And for what reason would it be a good idea for you to think about any of these? Raise your hand if you’ve been trapped in the dilemma of distinguishing between Data Science, Machine Learning, Artificial Intelligence, and Deep Learning. Bring down your hand, pal, we don’t want to see it (smirk). Apparently, the three buzzwords are normally used conversely and do not really allude to similar things. So, in this article, I’m trying to answer all these questions to the best of…
