Deep Learning

About Deep Learning


Deep learning is a branch of machine learning which is based on artificial neural networks. It is capable of learning complex patterns and relationships within data. In deep learning, we don’t need to explicitly program everything. It has become increasingly popular in recent years due to the advances in processing power and the availability of large datasets. Because it is based on artificial neural networks (ANNs) also known as deep neural networks (DNNs). These neural networks are inspired by the structure and function of the human brain’s biological neurons, and they are designed to learn from large amounts of data.


Deep learning models can recognize complex patterns in pictures, text, sounds, and other data to produce accurate insights and predictions. You can use deep learning methods to automate tasks that typically require human intelligence, such as describing images or transcribing a sound file into text.

Deep learning can be used for supervised, unsupervised as well as reinforcement machine learning.





Why is Deep Learning Important?


The reasons why deep learning has become the industry standard:

  • Handling unstructured data: Models trained on structured data can easily learn from unstructured data, which reduces time and resources in standardizing data sets.
  • Handling large data: Due to the introduction of graphics processing units (GPUs), deep learning models can process large amounts of data with lightning speed.
  • High Accuracy: Deep learning models provide the most accurate results in computer visions, natural language processing (NLP), and audio processing.
  • Pattern Recognition: Most models require machine learning engineer intervention, but deep learning models can detect all kinds of patterns automatically.


Artificial Intelligence vs. Deep Learning

Let's answer one of the most frequently asked questions on the internet: "Is deep learning artificial intelligence?". The short answer is yes. Deep learning is a subset of machine learning, and machine learning is a subset of AI.

AI vs. ML vs. DL

AI vs. ML vs. DL


Artificial intelligence is the concept that intelligent machines can be built to mimic human behavior or surpass human intelligence. AI uses machine learning and deep learning methods to complete human tasks. In short, AI is deep learning as it is the most advanced algorithm capable of making intelligent decisions.


Uses of Deep Learning 


Recently, the world of technology has seen a surge in artificial intelligence applications, and they all are powered by deep learning models. The applications range from recommending movies on Netflix to Amazon warehouse management systems.

In this section, we are going to learn about some of the most famous applications built using deep learning. This will help you realize the full potential of deep neural networks.

Date : 07 Oct, 2023

  • Deep Learning

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