Code360 powered by Coding Ninjas X Naukri.com. Code360 powered by Coding Ninjas X Naukri.com
Table of contents
1.
Introduction
2.
Deep Learning
2.1.
Features of Deep Learning
2.2.
Advantages of Deep Learning
2.3.
Disadvantages of Deep Learning
3.
CNN
3.1.
Features of CNN
3.2.
Advantages of CNN
3.3.
Disadvantages of CNN
4.
Similarities between Deep Learning and CNN
5.
Deep Learning vs CNN - Table
6.
Frequently Asked Questions
6.1.
What is Deep Learning?
6.2.
What is CNN?
6.3.
What is the main advantage of Deep Learning?
7.
Conclusion
Last Updated: Mar 27, 2024
Easy

Deep Learning vs CNN

Author Sagar Mishra
0 upvote
Leveraging ChatGPT - GenAI as a Microsoft Data Expert
Speaker
Prerita Agarwal
Data Specialist @
23 Jul, 2024 @ 01:30 PM

Introduction

Machine learning, or ML, is a subfield of artificial intelligence that uses statistical methods to solve huge volumes of data without the need for humans. Machine learning solves problems in the same way that humans do but with vast amounts of data and automated procedures. Deep Learning and CNN are the types of Machine Learning.

Deep learning vs CNN

This blog will discuss the topic of Deep Learning vs CNN in detail. Let's start with the definition of Deep Learning.

Deep Learning

Deep Learning is a sub-part of Machine Learning that uses Artificial Neural Networks (ANNs) to replicate the features of the human brain. It needs a huge dataset to accurately learn characterizing features of the given input. Deep Learning needs quite a long time to train its model.

Working of deep learning

The above image explains the working of Deep Learning, where the input layer learns and deviates from each hidden layer to give the output. Deep Learning is a complex type of engineering. And this comes at a high market cost. Deep Learning algorithms are indeed more expensive than other electronic tools. 

Features of Deep Learning

Let us now discuss the features of Deep Learning.

Features of Deep Learning
  • Deep Learning has a feature called Learning rate decay. This is a type of hyperparameter learning which means a factor that sets the conditions of data cleaning before training them for the model
     
  • It offers the learning transfer to the existing data network
     
  • It collects a large data set from scratch that helps the model to predict the output precisely
     
  • Users can solve the issue of overfitting at any stage using dropdown. It also boosts the performance of the neural network

Advantages of Deep Learning

We will now discuss the advantages of Deep Learning.

  • Deep Learning is highly reliable if implemented correctly
     
  • It also doesn't require preprocessing of data
     
  • Users can process both structured and unstructured data using Deep Learning

Disadvantages of Deep Learning

As we have now discussed the advantages, we will now move to the disadvantages of using Deep Learning.

  • Deep Learning requires a huge amount of data in the training phase
     
  • The computational cost incurred is high
     
  • The issue of biases is one of the major issues in Deep Learning
     
  • The learning rate is slow in Deep Learning
Get the tech career you deserve, faster!
Connect with our expert counsellors to understand how to hack your way to success
User rating 4.7/5
1:1 doubt support
95% placement record
Akash Pal
Senior Software Engineer
326% Hike After Job Bootcamp
Himanshu Gusain
Programmer Analyst
32 LPA After Job Bootcamp
After Job
Bootcamp

CNN

CNN (Convolutional Neural Network) is a Deep Learning algorithm. It takes in an input image, assigns values to various aspects of the picture, and differentiates one from another. The preprocessing needed in a CNN is much lower as compared to different classification algorithms. 

A CNN can successfully store the Spatial and Temporal domain in an image through relevant filters. It performs a better fitting of the image due to the reduced number of features and the reusability of weights, which means the network can be trained to understand the image's fineness better.

Features of CNN

Let us now discuss the features of CNN.

Features of CNN
  • CNN has designing and training networks
     
  • It uses a pre-trained model for transfer learning
     
  • CNN works with thousands or over a million images, which can take too much time, but CNN has GPUs that can increase the speed of this process

Advantages of CNN

Let us discuss some advantages of CNN.

  • By the face detection method in CNN, social media platforms suggest who might be in a photograph. This makes it easier to tag friends in photo albums 
     
  • With the help of CNN, doctors can identify cancerous tumours incorporated into radiology technology. It also enables doctors to identify healthy anatomy better
     
  • Some platforms have included image searching options that allow brands to recommend items using CNN 
     
  • As technology grows, driverless cars are trained in features like lane line detection to improve driver and passenger safety

Disadvantages of CNN

As we have now discussed the advantages, we will now move to the disadvantages of using CNN.

  • CNN can recognise patterns, but it fails when it comes to understanding an image's contents
     
  • CNN cannot classify images with different positions accurately
     
  • CNN faces challenges while getting adversarial examples means images with slight changes
     
  • CNN is slow due to operations like max pool

Similarities between Deep Learning and CNN

Deep learning is a tool to analyze big data using complex algorithms and artificial networks to train a model. This lets the model learn from their experience and recognize data/images like humans. CNN is a type of Deep learning which is used for object recognition and classification. Hence, Deep learning uses CNN to recognize objects in an image.

Deep Learning vs CNN - Table

We are now done with the basic concepts of Deep Learning and CNN. Let us now see the Deep Learning vs CNN in tabular form.

Deep Learning

CNN

Deep Learning is a sub-part of Machine Learning that uses ANNs to replicate the features of the human brain. CNN is a kind of neural network model which is inspired by the human brain. CNN is made up of many neurons which are interconnected.
The performance of Deep Learning is high as compared to CNN. The performance of CNN is low compared to Deep Learning.
It is a type of recursive neural network. It is a type of feed-forward neural network.
It takes quite a long time to train the model. It takes less time to train a model.
Deep learning is used in speech recognition, computer games, and more. CNN is used in classification, prediction and analysis, clustering, and more. 

Frequently Asked Questions

What is Deep Learning?

Deep Learning is a sub-part of Machine Learning that uses Artificial Neural Networks (ANNs) to replicate the features of the human brain. It needs a huge dataset to learn characterizing features of the given input accurately.

What is CNN?

A CNN (Convolutional Neural Network) is a Deep Learning algorithm. It takes in an input image, assigns values to various aspects of the picture, and differentiates one from another. 

What is the main advantage of Deep Learning?

Deep Learning is highly reliable if implemented correctly. Also, it also doesn’t require preprocessing of data and can process both structured and unstructured data.

Conclusion

This article discusses the topic of Deep Learning vs CNN. In detail, we have seen the definition of Deep Learning and CNN. Along with this, we have seen the pros and cons of them and Deep Learning vs CNN in tabular form.

We hope this blog has helped you enhance your knowledge of Deep Learning vs CNN. If you want to learn more, then check out our articles.

And many more on our platform CodeStudio.

Refer to our Guided Path to upskill yourself in DSACompetitive ProgrammingJavaScriptSystem Design, and many more! If you want to test your competency in coding, you may check out the mock test series and participate in the contests hosted on CodeStudio!

You can also consider our Machine Learning Course to give your career an edge over others.

Happy Learning!

Live masterclass