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Deep Learning


Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example. Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign, or to distinguish a pedestrian from a lamppost. It is the key to voice control in consumer devices like phones, tablets, TVs, and hands-free speakers. Deep learning is getting lots of attention lately and for good reason. It’s achieving results that were not possible before.

Deep learning is neural network (Neural networks are a family of learning algorithms that use a "network" consisting of multiple layers of inter-connected nodes) which use to classify the unlabelled and unstructured data.

Deep learning models are trained by using large sets of labelled data and neural network architectures that learn features directly from the data without the need for manual feature extraction.

One of the most popular types of deep neural networks is known as convolutional neural networks (CNN or ConvNet).

CNNs eliminate the need for manual feature extraction, so you do not need to identify features used to classify images. The CNN works by extracting features directly from images.




Conclusion: Deep Learning is subset of machine learning who work is to understand the unlabelled and unstructured data and provide the information to the machine learning model as we know machine learning require manual information entry. To eliminate the manual entry deep learning is used which can be way better the humans.   

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