Difference Between Deep Learning and Machine Learning

Difference between Deep Learning and Machine Learning featured image

I know most of you are confused in two trendy terms Machine Learning and Deep Learning .  If you want to really understand the Difference between Deep Learning and Machine Learning , Go for investing your five minutes in this article . I promise this next five minutes will be amazing for you if you are Technology Lover .

Before I Start anything in very straight forward manner , I will say Deep Learning is more powerful and flexible than Traditional Machine Learning . In fact Deep learning is also a Machine Learning type but have difference in many other ways . Do not think that I end the suspense here , There is a complete movie remaining for you . I mean , Traditional Machine learning has its own advantages . You have to choose and decide the best for  your application.

What is Machine Learning

When your code is written in such a way that it learns from previous result and experience and it also improves its performance , It is Machine Learning . If you need to drill more on it read the article about Machine Learning fundamentals .  I will discuss more on deep learning in this Article .

 What is Deep Learning –

A kind of Machine Learning , When machine learning datasets are large and target function is complex we use Deep Learning . It is basically based on Artificial Neural Network which are multi layered  . I know you might  not familiar Artificial neural network also . Do not worry  lets go more deep into Dee Learning .

If you want to develop a model which can predict numbers of building in any Image . you can use Deep learning here . Suppose you have the data about coordinate for shape and size of buildings . Now just prepare the data set where the features are coordinate of the building .Predicted class as Building or Non Building . Now in deep learning , it automatically choose the weight of features by having multiple Iteration in training the model . Actually it works on the principle of Human Brain  design & working Mechanism .Our brain contains multiple neurons . Here in Deep learning , there are artificial neurons in the place of natural neurons .lets have look below in Image , It will make you understand in better way –

Nueral network
Neural network

Here in the above Image you can see easily , There  can be multiple layer between Input and Output as hidden layer . These hidden layer are consist of neurons  .Each neurons contains some weight and pass some message to the next layer .  These weights changes in every iteration while training the model until the model reaches at a certain accuracy level .

I think , Now you have basic understanding of Deep learning .Lets go for the second step .Now I am going to explore Difference between Deep Learning and Machine Learning.

Difference between Deep Learning and Machine Learning

  1. Data dependencies  for deep learning –

Deep Learning needs more training data than traditional machine learning . So be careful when your application or model have less training data and performing deep learning on this .In the opposite Traditional machine learning demands less data in comparison of deep learning .

     2 . Hardware  requirement for Deep learning –

Deep Leaning model have the Multiple GPU supported architecture . Actually Deep learning needs complex matrix calculation , That is the major reason why Data scientist prefer high configuration machine in deep learning  . In the opposite side , Traditional machine learning kernel can run on lower configuration than deep learning .

       3. Time Complexity –

Deep learning model takes more time than Traditional machine learning .Reason is very obvious .I don’t think after reading above two factor you need any more explanation . Difference between Deep Learning and Machine Learning on Time  complexity   matters a lot on organization level .

        4. Feature selection –

Deep learning automatically select the features and assign the weight. While Traditional machine learning involves manual feature selection process . This is one the most impacting Difference between Deep Learning and Machine Learning .

Apart from these four Difference between Deep Learning and Machine Learning , There is one more . It is how deep learning model look into the problem . Most of the deep learning models solves the problem end to end . It is not like  breaking  the problem into different parts . Traditional machine learning model usually break the problem into several steps . They first solve them one by one and then merge them .

This approach of Traditional  machine learning   makes the the model interpret-able . Basically In industry , Deep learning model are tested properly for a longer time before launching  live . Actually Deep learning model is not interpretable so no body can analyse its prediction behavior after training .

Deep Learning vs Machine Learning (2)

Framework for Deep learning –

Deep learning is trending fast these days because of Best documented and high performance Frameworks in Deep learning . Here is  description for top framework of deep learning –



3. caffe

4. Keras

Advantages of Traditional Machine Learning :

In case , You have small data set for training , You are not sure of the performance of  your Machine learning model . You want to explore the flow of prediction in case of bad performance after the training . You have low end machines . I think , Going towards Traditional Machine Learning is the best solution .


Trend in Deep Learning –

Google Brain is itself an application for Deep learning . As I have heard some where ( Sorry not remember where )-

” Machine Leaning is eating traditional software and Deep Learning is eating Machine Learning ”


difference between deep learning and machine learning
difference between deep learning and machine learning

As you can see in the above Image , Interest over the time in Deep Learning is in uptrend .

End Notes-

For designing intelligent system , Deep Learning is becoming an essential tool these days . Where Traditional machine learning has its own specification . Both are powerful and Amazing . I hope this article must be helpful in understanding the Difference between Deep Learning and Machine Learning .

If you like this article please share your thoughts with us . You may also write about your learning experience with Data Science Learner.In this blog series we are planning to launch Learning Series for Deep Learning ( In TensorFlow) . If you excited about this learning series please let us know .

Data Science Learner Team


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Meet Abhishek ( Chief Editor) , a data scientist with major expertise in NLP and Text Analytics. He has worked on various projects involving text data and have been able to achieve great results. He is currently manages Datasciencelearner.com, where he and his team share knowledge and help others learn more about data science.
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