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Attentional Interpretation of Words in the Input Document to the Output Summary

Attention in Long Short-Term Memory Recurrent Neural Networks

The Encoder-Decoder architecture is popular because it has demonstrated state-of-the-art results across a range of domains. A limitation of the architecture is that it encodes the input sequence to a fixed length internal representation. This imposes limits on the length of input sequences that can be reasonably learned and results in worse performance for very […]

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A Gentle Introduction to Long Short-Term Memory Networks by the Experts

A Gentle Introduction to Long Short-Term Memory Networks by the Experts

Long Short-Term Memory (LSTM) networks are a type of recurrent neural network capable of learning order dependence in sequence prediction problems. This is a behavior required in complex problem domains like machine translation, speech recognition, and more. LSTMs are a complex area of deep learning. It can be hard to get your hands around what […]

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How to Learn to Add Numbers with seq2seq Recurrent Neural Networks

Learn to Add Numbers with an Encoder-Decoder LSTM Recurrent Neural Network

Long Short-Term Memory (LSTM) networks are a type of Recurrent Neural Network (RNN) that are capable of learning the relationships between elements in an input sequence. A good demonstration of LSTMs is to learn how to combine multiple terms together using a mathematical operation like a sum and outputting the result of the calculation. A […]

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Automatic Object Detection

8 Inspirational Applications of Deep Learning

It is hyperbole to say deep learning is achieving state-of-the-art results across a range of difficult problem domains. A fact, but also hyperbole. There is a lot of excitement around artificial intelligence, machine learning and deep learning at the moment. It is also an amazing opportunity to get on on the ground floor of some really powerful tech. […]

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How To Estimate The Performance of Machine Learning Algorithms in Weka

Deep Learning Courses

It can be difficult to get started in deep learning. Thankfully, a number of universities have opened up their deep learning course material for free, which can be a great jump-start when you are looking to better understand the foundations of deep learning. In this post you will discover the deep learning courses that you […]

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Crash Course in Recurrent Neural Networks for Deep Learning

Crash Course in Recurrent Neural Networks for Deep Learning

Another type of neural network is dominating difficult machine learning problems involving sequences of inputs: recurrent neural networks. Recurrent neural networks have connections that have loops, adding feedback and memory to the networks over time. This memory allows this type of network to learn and generalize across sequences of inputs rather than individual patterns. A […]

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