All Eyez On Data

What Is Deep Learning And How Is It Connected To AI

In recent years, Deep Learning has become a term that occupied the branch of Machine Learning. It imitates the human brain as to how to process data and to create patterns that can be used for making decisions. It is a system based on artificial neural networks with representation learning.

It employs three types of Neural Networks.

1. Recurrent Neural Networks

2. Convolutional Neural Networks

3. Deep belief Networks

It is a system modeled after the human brain neurons. And, to understand how deep learning works, we have to first understand the human nervous system. Our nervous system is made up of neurons. Neurons have the ability to get and comprehend the information that has been transmitted to our body. Over time, these neurons learn the information.

This system’s learning principle works on artificial neural networks. These neural networks are made of three types of layers: Input Layer, Hidden Layer and Output Layer.

The input layer takes the input data and transfers it to the second layer – the hidden layer. The input units get many different forms of data and information. That is based on an internal weighting system. This second layer then takes the input data and performs various computations. It attempts to learn the information and produces one output report.

The Artificial Neural Network or ANN uses a set of algorithmic rules (backpropagation) to get perfect output results. But that is not all, not only they are able to predict outputs, but they also are able to classify the data.

In short, it performs predictions.

How is Deep Learning Connected to AI?

Deep learning is a method to make machines learn. It allows humans to train AI systems to predict future possibilities and outcomes. There are many ways Deep Learning is used in everyday life. For example, it plays a huge role in many industries relating to robotics, computes and machines. We use deep learning to make driving machines to navigate vehicles through roads and traffic to get to the final destination.

Deep leaning also uses Natural Language Processing to analyze customers, customer’s preferences, reviews and to gain insights about goods and services. This is a system that is able to learn about humans without any human intervention. It doesn’t need to have recoded algorithms to predict and analyzed data. This is what makes deep learning an excellent tool in marketing and commercial companies.

This tool has created countless of opportunities for many professionals to implement AI systems into everyday life. Deep learning has given machine learning a chance to extend far beyond than typical AI systems. It segments tasks In w way that makes all kinds of machine assists seem possible. It has enormous applications worldwide. From self-driving cars to better healthcare and even daily movie recommendations, this is all possible thanks to deep learning. Deep Leaning, Machine Learning and AI are the ultimate tools for a better future. With the help of Deep leaning, we might get to the fiction level of Artificial Intelligence.