thecoderworld
  • Programming
  • Security
  • Tech
  • Open Source
  • How To
  • Lists
  • Windows 11
  • Chromebook
  • Linux
No Result
View All Result
thecoderworld
  • Programming
  • Security
  • Tech
  • Open Source
  • How To
  • Lists
  • Windows 11
  • Chromebook
  • Linux
No Result
View All Result
thecoderworld
No Result
View All Result

Home > Artificial Intelligence > Everything You Need to Know Deep Learning

Everything You Need to Know Deep Learning

Ajoy Kumar by Ajoy Kumar
October 9, 2020
in Artificial Intelligence, Data Science
Reading Time: 6 mins read
0
Share on FacebookShare on Twitter

Deep learning is one of the most discussed topics in the world of technology today. We all know the reason also. Humans are the best creature in the world when it comes to the brain. We can learn from our past from our experiences, can analyze critical things, and also can react quickly against a unique incident.

Today technologists are dealing with artificial intelligence. They want to create machines that have thinking capacity like humans. It is the most critical part of artificial intelligence. We will make you understand the concept of deep learning model as much as possible. So, let’s begin.

RelatedPosts

How to Create a New Folder in Windows 11

How to Create a New Folder on Windows 11

May 17, 2022
Why Linux Users are Going Crazy over WireGuard

Why Linux Users are Going Crazy over WireGuard?

May 17, 2022

Also Read: Reinforcement Learning: All That You Need to Know About

What is Deep Learning?

Let’s start at the very beginning. Deep learning refers to a type of machine learning or ML related to algorithms inspired by the structure and function of the brain.

The main component is artificial neural networks, which functions as biological neural networks. It uses multiple layers of artificial neurons to extract higher-level features from raw input.

Why it is Called Deep Learning Model?

The question may come in your mind that why we are calling this module as a deep learning module. The word ‘Deep’ refers to the number of hidden layers of artificial neural networks.

Usually, hidden layers contain three or four layers. The success of this technology depends largely on these neural networks. The hidden layers are the analyzing unit of the artificial neural network.    

Difference Between Deep Learning and ML?

Before we explain this topic, you should understand a fact. Deep learning is also a type of ML, but the more advanced ones. According to experts, deep learning is considered as the evolution of ML. The major functional difference lies in the learning process.

Where basic ML models need guidance to become advanced, the deep learning models do not want human guidance to learn new things. In the machine learning model, you need to review the result to determine its accuracy. Also, you have to give instructions to correct the errors. This is the procedure of learning with machine learning models.

When you use a deep learning model, it can review the result on its own and correct the error also. Not only this, but the model also learns from those mistakes to avoid the same in the future. This whole process happens without the involvement of outside observation.

Also Read: All You Need To Know About Automated Machine Learning

What is an Artificial Neural Network?

So, now you are enthusiastic to know how deep learning models perform like humans. We will make you understand, but before that, you should know a bit about the artificial neural network.

Artificial neural networks are the collection of artificial neurons. These artificial neural networks works are computing system in deep machine learning models. The artificial neurons of artificial neural networks work the same as biological neurons of the human nervous system.

The application of this artificial neural network makes the deep learning models superior to the ML models. Now we will discuss how these deep learning models work.

Also Read: All You Need to Know About Artificial Neural Network

How Does this Technology Work?       

Deep learning models were designed to replicate the human thinking structure to conclude humans. For this purpose, developers have created an artificial neural network. As we have told you, the artificial neural network is the fundamental unit of deep learning models, so we should see the work pattern of that.

An artificial neural network has artificial neurons that are arranged in three layers. The input layer collects data to passes that to hidden layers. Hidden layers analyze the data and create the output. Then it passes on to the output layer. You have to train the modules like ML, but the intermediate hidden layers of deep learning modules create the difference.

These layers reanalyze the output with the previous training data before sending it to the output layer. They also store the error details and avoid the repetition of mistakes.

Uses of Deep Learning Technique?

Deep neural networks are masters at providing an output of huge unstructured data. You can see the massive use of this advanced technology in all types of big data analysis.

Its use is seen mostly in the field of natural language processing, language translation, medical diagnosis, stock market trading signals, network security, and image recognition. The areas of use of this advanced technology are the following:

Customer Handling: The chatbots that are used to communicate with customers are the users of this technique. Most of the businesses are implying a deep learning strategy to improve customer experience and customer satisfaction.    

Text Generation: It has a massive use in teaching grammar, spelling, and text style to the text models. These text models check to spell, creates new text styles and grammar.

Aerospace and Military: It has great use in the military to detect objects from satellites. It also determines the safe and unsafe zone for the troops.

Industrial Automation: This technology improves worker safety in factories and warehouses. It automatically detects when a worker or object gets too closer to a machine.

Medical Research: Medical researches deal with a large amount of data. This technology has been widely used in this field of medical research to distinguish particular cells or viruses from a group.

So, these are the important sectors where deep learning strategy is used widely.

Also Read: How Machine Learning and Artificial Intelligence will Impact Global Industries

Drawbacks of Deep Learning

The biggest limitation of this technology is that they learn through observation only. So, only the data that you provide during the trial is their learning. If you have small data or data that comes from one specific source, the learning of the module will not be generalized.  

Biases are another issue that makes you worried. If you train the model with biased data, it reflects those biases in its prediction.

Developers also have to maintain an appropriate learning rate. If the speed is too high or too low, the model will face a lot of difficulties in providing a solution.

Conclusion

So we have mentioned all the topics that you should know regarding the deep learning models. It is in the high-demand zone for being a part of artificial intelligence. It is the perfect time to get into it.

Previous Post

Top 10 Bootstrap Alternatives As of 2021

Next Post

10 Best Adobe Dreamweaver Alternatives

Ajoy Kumar

Ajoy Kumar

I am an entrepreneur by heart and founder of thecoderworld. Who always follows his passion. I love writing about software, coding, open-source, technology, smartphones, tips, and tricks.

Recommended Posts

How to Create a New Folder in Windows 11
How To

How to Create a New Folder on Windows 11

May 17, 2022
Why Linux Users are Going Crazy over WireGuard
Linux

Why Linux Users are Going Crazy over WireGuard?

May 17, 2022
How to Download and Install LibreCAD on Windows 11
How To

How to Download and Install LibreCAD on Windows 11

May 16, 2022
How to Convert a Bootable Pendrive Back to Normal
How To

How to Convert a Bootable Pendrive Back to Normal

May 16, 2022
What is Linux Operating System
Linux

What is Linux Operating System?

May 15, 2022
Reasons Why Linux is Better than Windows
Linux

9 Reasons Why Linux is Better than Windows

May 15, 2022

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Stay Connected

  • 1.3k Fans
  • 702 Followers
  • 56 Followers
  • 24.1k Subscribers

Recent Posts

Why Linux Users are Going Crazy over WireGuard
Linux

Why Linux Users are Going Crazy over WireGuard?

May 17, 2022
How to Create a New Folder in Windows 11
How To

How to Create a New Folder on Windows 11

May 17, 2022
thecoderworld

© 2018 - 2022 thecoderworld

Navigate Site

  • About Us
  • Contact Us
  • Privacy Policy
  • Disclaimer
  • Advertise
  • Career

Follow Us

No Result
View All Result
  • Programming
  • Security
  • Tech
  • Open Source
  • How To
  • Lists
  • Windows 11
  • Chromebook
  • Linux

© 2018 - 2022 thecoderworld