Synapses need only few bits

Deep learning is possibly the most exciting branch of contemporary machine learning. Complex image analysis, speech recognition and self-driving cars are just a few popular examples of a multitude of new applications where machine learning, and deep learning in particular, show their amazing capabilities. Deep neural networks are made up of many layers of artificial neurons with hundreds of millions of connections between them. The structure of such deep networks is reminiscent of the brain, where billions of neurons are connected through thousands of synaptic contacts each. These types of networks can be trained to perform hard classification tasks over huge datasets, with the remarkable property of extracting information from examples and generalizing them to unseen items. The way neural networks learn is by tuning their multitude of connections, or…

Link to Full Article: Synapses need only few bits

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