Archives for recurrent neural networks
A Recurrent Neural Network or RNN is a popular multi-layer neural network that has been utilised by researchers for various purposes including classification and prediction. The applications of this network include speech recognition, language modelling, machine translation, handwriting recognition, among others. The recurrent neural network is an interesting topic and what’s more about this article…
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Recurrent Neural Networks (RNNs) are neural networks that recall each and every information through time. In the past few years, this neural network has gained much traction and has been utilised in several applications. The applications include speech recognition, machine translation, video tagging, text summarization, prediction and more. Here, we have listed the top 10…
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Recurrent Neural Networks have shown assuring results in various machine learning tasks. It has been applied in various cases, such as time-series prediction, machine translation, speech recognition, text summarisation, video tagging, language modelling and more. Recurrent Neural Network or RNN is a popular neural network that is able to memorise arbitrary-length sequences of input patterns…
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Juergen Schmidhuber There are close to 3.5 billion smartphone users in the world, and if you happen to be one of them, then the chances are high that Juergen Schmidhuber has already touched your life. Be it Apple’s Siri or Amazon’s Alexa, all the top speech and voice assistants work on LSTM or Long Short…
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Recurrent Neural Networks (RNNs) have found widespread use across a variety of domains from language modeling and machine translation to speech recognition and recommendation systems. RNNs are built on the recursive formula, where the new state is a function of the old state and the input. And, RNNs excel for handling time series data. However,…
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