What is Deep Learning?

Deep learning is a type of Artificial Intelligence (AI) that employs algorithms and techniques inspired by the arrangement and function of the human brain. It is based on a type of Machine Learning, where computers learn from data without relying on predetermined rules. It can be used to recognize objects, classify images, and understand natural language. Deep Learning (DL) revolutionizes how businesses, organizations, and industries work. It is becoming increasingly important to the current industry because of its potential to improve efficiency, reduce costs, and increase customer experience. Get familiar with this in-demand industry skill through Great Learning’s free Deep Learning courses that cover basic to advanced concepts.

Why Learn Deep Learning?

In the past decade, there has been a tremendous increase in the use of Deep Learning as Artificial Intelligence (AI) technology. This technology has been applied widely in various industrial fields, including medical diagnostics, autonomous driving, media & entertainment, and natural language processing. 

Deep Learning is a subset of Machine Learning, which is the capability of a computer system to learn without being explicitly programmed. It involves the use of artificial neural networks which emulate the workings of the human brain. In Deep Learning, the neural network is used to identify patterns in data and then learn to make decisions based on these patterns. 

In recent years, there has been an upsurge in demand for Deep Learning expertise in various industries. The technology is being used in industries ranging from medical diagnostics and autonomous driving to media & entertainment. 

One of the most common applications of Deep Learning is in medical diagnostics, which is used to identify different diseases by analyzing images or CT Scans. Deep Learning systems are also used in robotic surgery to help the robot determine the best route to take for a procedure. Similarly, Deep Learning is used in autonomous driving to detect objects such as pedestrians and vehicles. 

In the media & entertainment field, Deep Learning is used for video object segmentation and object recognition, as well as facial recognition and voice recognition. For example, Deep Learning can detect objects in a video, such as a person's face or clothes, and recognize movements or gestures, such as the action of raising a hand.

Deep Learning is applied to analyze and understand written or spoken language in Natural Language Processing(NLP). This technology can be used to detect sentiment in text, identify topics of conversations, and translate between languages. 

Learning Deep Learning has become essential for professionals in the various industries that are making use of it. With the current demand for Deep Learning expertise, gaining knowledge in this field has become essential for professionals who wish to stay ahead of the competition. It can be an invaluable asset for those who want to work in the cutting-edge field of AI technology.

Benefits of Learning Deep Learning
Deep learning has evolved into one of the most talked about topics in technology as more and more people are realizing the potential of this powerful machine learning technology. It has revolutionized the way computers can learn by enabling them to learn from large amounts of data. This has made it a valuable tool for businesses, researchers, and scientists. Here are some of the key benefits of learning Deep Learning.


1. Greater Prediction Accuracy
Deep learning algorithms are able to learn complex patterns and make predictions that are much more accurate than traditional Machine Learning algorithms. This improved accuracy is beneficial in many areas, such as medicine, finance, and robotics, where decision-making needs to be as precise as possible.

2. Increased Efficiency
Deep learning algorithms use advanced techniques such as natural language processing, convolutional neural networks, and recurrent neural networks to quickly process large sets of data. This results in faster and better predictions, saving businesses time and money.

3. Increased Automation
Machine Learning algorithms have been used for some time to automate tasks that would otherwise have to be done manually. Deep learning increases this automation by taking the capability a step further, allowing machines to understand complex data patterns and make decisions with minimal human intervention.

4. Faster Development
Deep learning algorithms are able to quickly develop models based on data that is provided. This makes the development of complex models much faster and more efficient than with traditional Machine Learning algorithms.

5. Improved Understanding 

Deep learning algorithms are able to understand data in greater depth than traditional Machine Learning algorithms. This improved understanding helps businesses and scientists to understand the data better and make better decisions.

These are only a few of the benefits of learning Deep Learning. As businesses and scientists continue to realize its potential, its use will only increase. By learning Deep Learning, you will be well-placed to take advantage of this rapidly advancing technology. Advance in your career by enrolling in Great Learning's Artificial Intelligence and Machine Learning Program by the University of Texas at Austin’s McCombs School of Business and gain in-demand industry skills along with the certificate of course completion.