Many machine learning algorithms can be used to solve complex problems that require a large amount of data with a large number of features, but deep learning can outperform all algorithms. So to understand where we can use deep learning techniques, in this article, I will introduce you to the applications of deep learning.
What is Deep Learning?
We have seen an increase in the availability of more powerful and cheaper computer systems, which has increased the use of complex deep neural architectures to solve complex problems that were unimaginable two decades ago. Over the past decade, we have seen that many researchers have started to train larger models built with multiple layers of neurons to solve complex problems. This is what deep learning is. Deep learning is the use of deep neural architectures to solve complex problems within acceptable time frames.
The idea behind deep neural architectures is to create algorithms that work like a brain. As the algorithms used in deep learning mimics the workings of a human brain while solving a problem, deep learning has shown to perform better than any other machine learning algorithm. Hope you have now understood what deep learning is, in the section below I will introduce you to the applications of deep learning.
Applications of Deep Learning
Many complex problems can also be solved using classical machine learning algorithms which are sometimes much more complex than deep neural architectures, but deep learning can outperform all algorithms because the techniques used in deep learning mimic the functioning of the human brain while solving a complex problem. So here are some of the common applications of deep learning:
- Image Classification
- Real-Time Object Recognition
- Self-Driving car
- Robot Control
- Logistic Optimization
- Speech Recognition
- Natural Language Understanding
- Natural Language Generation
- Speech Synthesis
Most of the above problems can also be solved using classic machine learning algorithms, but deep learning techniques can outperform all machine learning algorithms. Hope you liked this article on the applications of deep learning. Please feel free to ask your valuable questions in the comments section below.