... of **Deep** **Neural** **Networks** (Montufar, Pascanu, Cho, **and** Bengio, 2014) is submitted to the Conference on **Neural** Information Processing Systems (NIPS) 2014 **and** is work done jointly ...

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... simple **Recurrent** **Neural** Network (RNN) **and** our multimodal **Recurrent** **Neural** Network (m-RNN) ...image **and** its corresponding sentence ...start **and** an end sign w end to all the ...

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... learning **and** hardware design. Presently, **deep** **neural** **networks** can be deployed on embedded targets to perform different tasks such as speech recognition, object detection or Human Activity ...

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... trons, **and** stateful **recurrent** **neural** **networks** in a hierarchical structure is able to capture underlying sources of variations in the temporal sequences over very long time spans, on three ...

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... government **and** other entities, who want to understand the likes, dislikes **and** feedback of the users **and** people in ...segmentation **and** classification of opinions in text. We propose a ...

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... is **deep** in all of these senses. See Section 3.2. Recursive **Neural** **Networks** **and** Convolutional **Recurrent** **Neural** **Networks**: When unfolding RNN into a feedforward network, the ...

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... the **deep** **neural** ...layer) **neural** **networks** using the mean-field Langevin ...the **deep** **neural** ...the **deep** **neural** network under mild ...(1.7) **and** its relation to ...

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... Abstract **Recurrent** **neural** **networks** (RNN) are known for their notorious exploding **and** vanishing gradient problem ...parametric **and** semi- parametric RNNs to gain a better understanding ...

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... **Recurrent** **neural** **networks** (RNNs) have shown tremendous success in modeling sequen- tial data, such as natural language [119, ...dependencies **and** stimulating research on strategies to deal ...

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... of **deep** **neural** **networks** (DNN) for many machine learning tasks such as image classification **and** object recognition (Krizhevsky et ...Tishby **and** Zaslavsky, 2015; Mallat, ...redundancy ...

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... of **deep** learning models with a tractable method to compute information- theoretic ...entropies **and** mutual informations can be derived from heuristic statistical physics methods, under the assumption that ...

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... Results **and** discussion ...640 **and** 160 neurons ...Das **and** Petrov (2011), Duong et ...it) **and** Gouws **and** Søgaard (2015a) (who in addition used Wik- tionary **and** Wikipedia) ...Greek ...

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... Kerkeni **and** al. [2] **and** modulation spectral features (MSFs) ...features **and** classifiers for Berlin **and** Spanish ...MFCC **and** MS has the highest accuracy rate on both Spanish emotional ...

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... In this paper, we test using a Learning Synthesis Deep Neural Network (LS-DNN) [2] in combination with BM3D [3], an off the shelf de-noising tool, to generate images, att[r] ...

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... In addition, we compare these representations along with both long short-term memory networks (LSTM) and convolutional neural networks (CNN) for prediction of five i[r] ...

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... in **deep** learning framework training loops, the empirical loss of an epoch is computed as the averaged loss of each ...stopping **and** best epoch ...weights **and** use it to obtain the corresponding bound ...

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... 2.2.5.2 Cost functions for AGI An unconstrained search for an algorithm with low cost can return unexpected solu- tions, which may have undesirable behaviours, if the cost does not properly reflect ev- erything that is ...

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... signal **and** provide these features as an input to a classification system such as Support Vector Machines (SVMs) [3, 5], Hidden Markov Models (HMMs) [2], Random Forests [6, 7] or Artificial **Neural** ...

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... (2) Data Sparsity There is a further technical reason why much of previous re- search on machine translation has considered words as a basic unit. This is mainly due to the fact that major components in the existing ...

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... DNNs, **and** the spatial covariance matrices, which are updated iteratively in an EM ...voice **and** other instruments from a mixture containing multiple musical ...evaluation, **and** estimating the optimal ...

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