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Questions and Answers
What is the purpose of introducing gates in the hidden units of LSTM?
What is the purpose of introducing gates in the hidden units of LSTM?
To stabilize the gradient flow
In the context of neural machine translation, what development was the Sequence-to-Sequence model designed for?
In the context of neural machine translation, what development was the Sequence-to-Sequence model designed for?
Neural machine translation
Why are deep neural networks not suitable for tasks where input/output sizes are not fixed?
Why are deep neural networks not suitable for tasks where input/output sizes are not fixed?
Require fixed sized inputs/outputs
What is the main contribution of Seq-2-Seq architecture in utilizing LSTM for encoding/decoding?
What is the main contribution of Seq-2-Seq architecture in utilizing LSTM for encoding/decoding?
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What is the purpose of using distributional word embeddings like word2vec and GloVe in NLP?
What is the purpose of using distributional word embeddings like word2vec and GloVe in NLP?
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Why is reversing the order of input tokens in Seq-2-Seq helpful?
Why is reversing the order of input tokens in Seq-2-Seq helpful?
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What type of neural networks are commonly used in deep learning for tasks like machine translation and sentiment analysis?
What type of neural networks are commonly used in deep learning for tasks like machine translation and sentiment analysis?
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How do Recurrent Neural Networks (RNNs) handle sequential data?
How do Recurrent Neural Networks (RNNs) handle sequential data?
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What is the purpose of using an 'encoder-decoder' architecture in RNNs?
What is the purpose of using an 'encoder-decoder' architecture in RNNs?
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Why are Recurrent Neural Networks (RNNs) difficult to train?
Why are Recurrent Neural Networks (RNNs) difficult to train?
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What is the purpose of using 'softmax' vectors in generating text from Recurrent Networks?
What is the purpose of using 'softmax' vectors in generating text from Recurrent Networks?
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How can more consistent results be achieved in text generation using Recurrent Networks?
How can more consistent results be achieved in text generation using Recurrent Networks?
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