From the course: AI Fundamentals for Data Professionals
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Deep learning overview: Part 1
From the course: AI Fundamentals for Data Professionals
Deep learning overview: Part 1
- So far, we've learned the three major areas of machine learning: supervise, unsupervised, and reinforcement learning. But you may be wondering, how do these methods lead to exciting applications like computer vision, speech recognition, natural language processing, and more? This is where deep learning comes in. Deep learning is a type of machine learning based on artificial neural networks with multiple layers. The deep refers to the multiple layers in the network. Deep learning methods can be supervised, semi-supervised, or unsupervised. So how does it do its magic? Deep learning models primarily use multi-layered artificial neural networks, such as convolutional neural networks for image recognition or transformers for NLP. But it can get even wilder with deep belief networks and deep Boltzmann machines. In simpler terms, think of deep learning as an assembly line where each layer refines the raw material. In an…
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