Let’s share what is Deep Learning in plain words.
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Pranjal Namey
Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of neural network methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised.
Deep learning architectures such as deep neural networks, deep belief networks recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases superior to human experts.
Neural networks were originally inspired by information processing and distributed communication nodes in biological nervous systems yet have various differences from the structural and functional properties of biological brains (especially human brains), which make them incompatible with neuroscience evidences. Specifically, Neural Networks tend to be static and symbolic, while the human brain is dynamic and analog.
Anand N Pujar FIE, CEng
Adding value to society which is remembered in long run
Ashish Jaiswal
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.