From the course: Deep Learning: Getting Started
What is deep learning?
- [narrator] Let's begin the course by reviewing the concept of Deep Learning. What is Deep Learning? Deep Learning is a field within machine learning that deals with building and using neural network models. Neural networks with more than three layers are typically categorized as Deep Learning networks. Neural networks mimic the functioning of a human brain. They're organized similar to the brain cells and imitate how humans process data and make decisions. Deep Learning is a field that has seen exponential growth in the last few years. While the algorithms for neural networks have existed for some time the advances in large scale data processing, as well as inference technologies like GPU's have spurred their popularity for real world applications. Deep Learning has been extremely popular in natural language processing as the neural network architectures are ideal for dealing with unstructured data. For the same reason, they are also popular for speech recognition and synthesis applications. Image recognition is another domain where Deep Learning has made inroads. Self-driving cars is a bleeding edge technology that is being powered by Deep Learning. Applications that require complex learning of behaviors are usually suited for Deep Learning. The applications of Deep Learning are getting wide popularity in very domains like customer experience, healthcare and robotics. We will now start with the concepts of Deep Learning.
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