Deep learning is getting lots of attention lately, and for good reason. It’s making a big impact in areas such as computer vision and natural language processing. It’s a key technology behind driverless cars, and voice control in consumer devices like phones and hands-free speakers.
What is deep learning?
In deep learning, a computer model learns to perform classification tasks directly from images, text, or sound. Deep learning models can achieve state-of-the-art accuracy, sometimes exceeding human-level performance. Most deep learning methods use neural network architectures, which is why deep learning models are often referred to as deep neural networks.
The term “deep” usually refers to the number of hidden layers in the neural network. Traditional neural networks only contain 2-3 hidden layers, while deep networks can have as many as 150. One of the most popular types of deep neural networks is known as convolutional neural networks (CNN or ConvNet).
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