Foundations of Recurrent Neural Networks and Training Challenges
What is the main limitation of multilayer feedforward neural nets when dealing with sequence data?
Apuntes
Recurrent Neural Networks and Sequence to Sequence Recurrent Neural Networks (RNN) Motivation • Until now the ANNs have been use to map an input to a single output x y Motivation • Until now the ANNs have been use to map an input to a single output • What if we want to predict a new (the next) ? x y y The ball is moving. What is its next position? ? Prediction problem The next word in a sentence? This morning I took ... my cat for a walk. Practical problem The ball is moving. What is its next position? Now we know something about the past... Prediction problem past The next word in a sentence? Can we do this with a multilayer feedforward neural net? x ̂y W xh W hy Feedforward Neural Net We have to deal with variable size text! Use a fixed size window We loose long-term dependencies France is where I grew up, but now I live in Boston. I speak fluent ___ The next word in a sentence? Can we do this with a multilayer feedforward neural net? x ̂y W xh W hy Feedforward Neural Net Maintain information about order The food was good, not bad at all. The food was bad, not good at all. If we transform this in a bag of words... Motivation • ResNets showed skip connections and the impact of dif...
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