... feed-forward **neural** **networks** (FFNNs) such as CNNs **and** **real**-valued RNNs have shown to excel in a wide variety of applications **and** **learning** ...task. **For** instance, recurrent ...

146

... novel **neural** network architecture can reproduce sophisticated image enhancements with inference running in **real** time at full HD resolution on mobile ...enhancements **and** enable **real**-time ...

13

... machine **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 ...

33

... Artificial **Neural** **Networks** (ANN) ANN models the way biological neurons process information to solve **complex** non-algorithmic problems like recognizing patterns, classifying into groups, series ...

19

... results **for** the automatic music transcription (AMT) ...exploit **complex** operations as presented earlier in the ...[51]. **For** computational efficiency we resampled the original input from the original ...

57

... a **complex**, many-body ...EDNN, **and** domain decomposition is handled ...particles, **and** in some cases, an implicit solvation ...angles, **and** partial charges are used as features, **and** the ...

14

... lighting **and** so ...in **real**- ...simpler **and** faster. **For** that reason, exploiting the 3D human joint positions from depth cameras **for** recognizing human ac- tion is a very effective ...

7

... The reported approach is beneficial on many critical aspects: first, it allows us to compute approx- imate solutions orders of magnitude faster than the typical numerical simulators (tens of millisec- onds instead of ...

2

... Hochreiter **and** Schmidhuber , 1997 ) employ the multiscale update con- cept, where the hidden units have different forget **and** update rates **and** thus can operate with different ...self-loop **for** ...

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... Our work mainly focuses on leveraging prior models (like analytical dynamics models, physics engine) to learn residual dynamics model between the prior model and r[r] ...

81

... CONCLUSIONS **AND** PERSPECTNES A way to represent categories in multi-class problems is presented, that departs itself from the usual "grandmother cell" ...output **for** a **neural** ...

6

... expected **for** evaluating the pixel-level ...pan **and** roll angles, the pan **and** roll velocities, **and** the prin- cipal component (PC) values, which control the “identity” of the ...

19

... 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] ...

56

... 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] ...

12

... sets **and** in-distribution rejection rate ...TNR **and** FNR of these methods are the same concept as OOD rejection rate **and** in-distribution rejection rate, ...each, **for** in-distribution **and** ...

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... −1 **for** x<−1, x **for** −1<x<1, **and** 1 **for** x>1, **for** which the integrals in the replica formula can be evaluated faster than **for** the ...linear **and** hardtanh case, the ...

66

... method **for** the **deep** **neural** ...layer) **neural** **networks** using the mean-field Langevin ...the **deep** **neural** ...the **deep** **neural** network under mild ...(1.7) ...

25

... as **networks** get larger, it is not feasible to train them on a single ...Large **neural** **networks** are trained across multiple machines, **and** one of the key bottlenecks in training is the ...

11

... a **deep** model with many hidden layers has been quite difficult in ...that **learning** has to solve becomes harder **and** harder, either due to bad local minima or ...points **and** their impact to ...

154

... structure **and** rules of playing the game are very simple, the **complex** behavior of this dynamic system is ...Croson **and** Donohue ...(1997) **and** Sterman (1989) explained some rational **and** ...

69