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nbro
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Is the paper "Reducing the Dimensionality of Data with Neural Networks" by G. Hinton and R. Salakhutdinov relevant?

However, itIt seems that the deep learning textbook by Goodfellow, Bengio & Courville (2016) doesn't cite that paper. 

Does that indicate that paper is not as important as others to Deep learning? If yes, I would skip this one to accelerate my process of learning.

Is the paper "Reducing the Dimensionality of Data with Neural Networks" by G. Hinton and R. Salakhutdinov relevant?

However, it seems that the deep learning textbook by Goodfellow, Bengio & Courville (2016) doesn't cite that paper. Does that indicate that paper is not as important as others to Deep learning? If yes, I would skip this one to accelerate my process of learning.

Is the paper "Reducing the Dimensionality of Data with Neural Networks" by G. Hinton and R. Salakhutdinov relevant?

It seems that the deep learning textbook by Goodfellow, Bengio & Courville (2016) doesn't cite that paper. 

Does that indicate that paper is not as important as others to Deep learning? If yes, I would skip this one to accelerate my process of learning.

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nbro
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"reducing Is the dimensionalitypaper "Reducing the Dimensionality of dataData with neural networks"Neural Networks" by Hinton relevant?

It is saidIs the paper "Reducing the Dimensionality of Data with Neural Networks" is one of the most important foundations of deep learningby G. Hinton and R. Salakhutdinov relevant?

However, it seems that the deep learning textbook by Goodfellow, Bengio & Courville (2016) doesn't cite that paper. Does that indicate that paper is not as important as others to Deep learning? If yes, I would skip this one to accelerate my process of learning.

"reducing the dimensionality of data with neural networks"

It is said "Reducing the Dimensionality of Data with Neural Networks" is one of the most important foundations of deep learning.

However, it seems that the deep learning textbook by Goodfellow, Bengio & Courville (2016) doesn't cite that paper. Does that indicate that paper is not as important as others to Deep learning? If yes, I would skip this one to accelerate my process of learning.

Is the paper "Reducing the Dimensionality of Data with Neural Networks" by Hinton relevant?

Is the paper "Reducing the Dimensionality of Data with Neural Networks" by G. Hinton and R. Salakhutdinov relevant?

However, it seems that the deep learning textbook by Goodfellow, Bengio & Courville (2016) doesn't cite that paper. Does that indicate that paper is not as important as others to Deep learning? If yes, I would skip this one to accelerate my process of learning.

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Piete3r
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It is said "Reducing the Dimensionality of Data with Neural Networks" is one of the most important foundations of deep learning.

However, it seems that the deep learning textbook by Goodfellow, Bengio & Courville (2016) doesn't cite "Reducing the Dimensionality of Data with Neural Networks"that paper. Does that indicate that paper is not as importimportant as otherothers to Deep learning? If yes, I would skip this one to accelerate my process of learning.

It seems that the deep learning textbook by Goodfellow, Bengio & Courville (2016) doesn't cite "Reducing the Dimensionality of Data with Neural Networks". Does that indicate that paper is not as import as other to Deep learning? If yes, I would skip this one to accelerate my process of learning.

It is said "Reducing the Dimensionality of Data with Neural Networks" is one of the most important foundations of deep learning.

However, it seems that the deep learning textbook by Goodfellow, Bengio & Courville (2016) doesn't cite that paper. Does that indicate that paper is not as important as others to Deep learning? If yes, I would skip this one to accelerate my process of learning.

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Piete3r
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