What Is Deep Learning, How Does It Work

You must have already heard the names of Artificial Intelligence, Machine Learning, which is a kind of technology through which we can make machines do human-like work and can do that work faster than humans because they are machines. Today’s article is about what is deep learning? This is also related to these topics, so if you are also interested about all these things then stay till the end.

Let us tell you all that Deep Learning is a new technology which comes under Artificial Intelligence and Machine Learning, which today more than one company is using in its products. You all must be aware about Alexa developed by Amazon company, Deep Learning has been used in it.

Artificial Intelligence is very popular, through it, machines can be developed in such a way that they can work like humans using their mind. Now Machine Learning also comes under Artificial Intelligence. Through this technology, machines can also learn from their own experience and can act accordingly.

Deep learning is also something that can enable machines to think and work like humans, nowadays with the help of this technology, machines can be made much more advanced, so without any delay let us start knowing what is deep learning, the difference between machine learning and deep learning and all the information related to it.

What Is Deep Learning

Machine Learning, which is a subset of Artificial Intelligence, similarly, Deep Learning is also a subset of Machine Learning, which is based on Artificial Neural Network. It is a kind of technology that imitates some of the methods of humans acquiring knowledge and tries to function like the human brain.

In simple words, deep learning in the field of artificial intelligence is a technique that teaches the computer to process data just like the human brain. Deep learning model can automatically recognize different types of data like Text, Audio, Images to get accurate results or to make predictions, on the basis of which it works further.

To understand Deep Learning, we have to understand Artificial Intelligence and Machine Learning step by step because it is a part of it, Artificial Intelligence is a kind of technology by which machines are given the ability to think and work like humans, but for this, while preparing the AI model, it had to be programmed, only then it would be able to work like humans.

Now the problem was that it took a lot of hard work and time to program such a model. This task was made easier by machine learning in which there was no need to properly program the model, rather it could now be trained only on the basis of correct i.e. structured data so that it could give the correct output.

But as time changed and the number of data increased, similarly machine learning faced the problem that it could give output only on the basis of structured data. Now finding the right data from such huge data and training machine learning from it was a difficult task, after which came deep learning.

Which can process any kind of large structured or unstructured data and provide output. Its model does not need to be trained beforehand, rather it can learn by processing the data and like humans, it also learns from its own mistakes or experience.

How Does Deep Learning Work?

Our brain works with the help of Neurons which process the data. Similarly, in Deep Learning also, Artificial Neurons are prepared with the help of which Deep Learning works. These Artificial Neurons are called Artificial Neural Network which processes the data. If the machine learning model predicts something wrong, then the programmer has to reprogram it himself.

But at the same time, deep learning predicts something wrong, then it learns on its own, it does not need to be reprogrammed, it is understood in this way, where in machine learning model only the features of a thing need to be told manually and only then it learns, this does not happen with deep learning, rather it can extract the features through data and can learn on its own.

Some Applications Of Deep Learning

At present, deep learning is used in many fields, some examples of which are as follows: –

Self driving cars: In today’s time, self-driving cars have come which have the ability to drive the car on its own without any human driver, in which artificial intelligence contributes, these cars automatically detect the objects coming in the way and drive the car accordingly.

Language Translators: Google Translator is a very good and most popular Language Translator which is a very good example of Deep Learning and Natural Language Processing. It understands human language with the help of different means like Text, Audio, Image and converts it into another language accurately.

Virtual Assistant: Nowadays, various types of virtual assistants are available like Google Assistant, Alexa etc. which understand human languages and perform further tasks accordingly, like if you tell them to call Vijay, then they will call Vijay’s number from your phone. In this too, deep learning was used very effectively.

What Is The Difference Between Deep Learning And Machine Learning?

Deep learning and machine learning both come in artificial intelligence but there are differences between them like:-

This is a subset of machine learning. It is a subset of Artificial Intelligence.
To train deep learning, a very high level GPU (Graphic Processing Unit) is required. Machine learning can be trained through CPU (Central Processing Unit).
It learns from past mistakes and from the environment and there is no human intervention. It requires human intervention to improve and teach.
This is a developed form of machine learning. This is a developed form of Artificial Intelligence.
It does not have to be told the features of anything by humans, rather it finds out the features on its own. It has to be told by the human being about the features of anything only then it can work.

Advantages Of Deep Learning

Deep learning technology is a very good technology in the world which really has many benefits like:-

The specialty of Deep Learning Algorithm is that it can detect any features through data only.
Deep Learning Algorithm has the ability to handle both unstructured and structured data.
Deep learning algorithm has the ability to learn from past mistakes and improve itself.
It has the ability to handle large datasets or Bigdata.
Deep learning has the ability to predict the future based on data.

Disadvantages Of Deep Learning

Deep learning has its advantages but it also has disadvantages like:-

Deep learning makes artificial intelligence more advanced which is increasing unemployment.
Creating deep learning models requires high levels of GPU and computing power.
It costs a lot to develop it.
To prepare a deep learning model well, it has to be trained well, for which a lot of data is required and which takes a lot of time.

Actually, there is no exact definition of deep learning, in such a situation we can understand deep learning as a method by which artificial intelligence can be achieved.

Conclusion

New robotic technologies like Deep Learning are really inspiring us to improve our lives. Due to this, our lives are getting more advanced in the technical field, which is really a very good thing, but it is also reducing the importance of humans and is also giving rise to unemployment. Hopefully, today’s article would have helped you a lot in getting information about what Deep Learning is.

With the help of this article, you must have known and learned a lot, now in the end, if you all have any question left in your mind, then feel free to ask it by writing in the comment below and definitely share this article on social networks like Facebook, Twitter so that more people can know and learn.

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