1. A deep neural network is a neural network with a certain level of complexity, a neural network with more than two layers

2. Download Agiel Neural Network for free

3. Better optimized neural network; choose the right Activation function, and your neural network can perform vastly better

4. 14 The neural network picture is still building.

5. The chaotic neural network was applied to the shortest path problem, dynamic route guidance network routing algorithm based on transiently chaotic neural network dynamic route guidance was presented.

6. 15 Hitachi has developed a wafer-scale neural network.

7. We could disable their neural network at a stroke.

8. In order to improve the recognition performance of synergetic neural network further[Sentencedict.com], a hierachical synergetic neural network model for multifont character recognition was proposed.

9. 17 Some neural network implementations require this special-purpose hardware.

10. Key words: oil sand processing, artificial neural network, pattern recognition.

11. Self-adapting neural-fuzzy network for real-time process control

12. An Artificial neural network consists of a collection of simulated neurons

13. 27 The neural network collects its data incrementally, every five minutes.

14. Her neural network is the most sophisticated learning computer on earth.

15. Adversarial examples a re inputs to a neural network that result in an incorrect output from the network

16. And they've also shown electrical activity, in what resembles a growing neural network.

17. Figure 1 Neural Network as Function Approximator In the next section we will present the multilayer perceptron neural network, and will demonstrate how it can be used as a function Approximator

18. 28 Such an algorithm can provide an alternative learning mechanism in a neural network.

19. Arsenal 2’s Deep Color uses a neural network to intelligently develop each photo

20. Arsenal 2’s Deep Color uses a neural network to intelligently develop each photo

21. Minsky also built, in 1951, the first randomly wired neural network learning machine, SNARC.

22. The neural network takes each pixel, does calculations, and enters information on a graph.

23. We prove that such a quantum neural network is a universal Approximator of continuous functions, with at least the same power as classical neural networks

24. Software based on neural network ( NN ) to compensate machine tools therm al deformation is studied.

25. The paper you are citing is the paper that introduced the Cascaded convolution neural network

26. Method of adjusting automatically rule base of expert system using neural network and device thereof

27. 2 days ago · More information: Artur Petrosyan et al, Decoding and interpreting Cortical signals with a compact convolutional neural network, Journal of Neural …

28. For instance, network design and control could be applied to neural networks or electronic circuits.

29. This example shows how to feed an image to a convolutional neural network and display the Activations of different layers of the network.

30. This paper applied BP neural network control to the Static Phase Generator, and achieved good results.

31. Which has more capacity, the most advanced of the neural-network computers or a simple housefly?

32. This article proposes a modified algorithm for solving the travelling salesman problem ( TSP ) by neural network.

33. BP neural network has the robustness, associated memory and nonlinear mapping, this paper embodies ingathering of samples, confirmation of framework and training of network.

34. Each error value is back-propagated to adjust the neural network transformation to reduce the error value.

35. In 2015, Atomwise introduced AtomNet, the first deep learning neural network for structure-based rational drug design.

36. A ramose input and multi-output dynamic recurrent neural , network model RDRNN is presented in the , paper.

37. To address this challenge, we trained a deep neural network capable of predicting molecules with antibacterial activity

38. Clip (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pairs

39. A Contractive autoencoder is an unsupervised deep learning technique that helps a neural network encode unlabeled training data

40. In this paper, Bayesian Regularization algorithm and BP neural network were combined to forecast submarine sonar self-noise.

41. The neural network used in the software proved to be effective and marked a triumph for artificial intelligence.

42. 30 The following tables illustrate this important difference between the current inspection method and the neural network approach.

43. On the basis of device characteristic model, a gamut mapping algorithm is provided based on BP neural network theory.

44. The back propagation (BP) neural network model of 5-degree of freedom (DOF) upper limb rehabilitant robot was built.

45. There is nothing easier than having a professional program using all neural network benefits that generates Conclusions for you

46. Into this milieu comes now the neural network approach to artificial intelligence, where learning is built into every system.

47. Archai is a platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications

48. 18 Although digital computers have to simulate this parallelism, true neural network hardware will really perform the operations in parallel.

49. 17 In this paper, the realization of adaptive noise cancellation using an analogue neural network is discussed. The network is used to compute the coefficients of a linear transversal filter.

50. To realize 3DDFA, we propose to combine two achievements in recent years, namely, Cascaded Regression and the Convolutional Neural Network (CNN)

51. 25 In order for the neural network software to recognize the input data, we must enter each image or number serially.

52. Neural handshake initiated.

53. The system uses convolutional neural network character recognizers, combined with global training techniques to provide record accuracy on business and personal checks.

54. A method of hyperspectral remote sensing of shallow water bathymetry based on artificial neural network (ANN) technique is studied in this thesis.

55. Firstly the relation matrix changing KTSP into TSP is got, then applying chaotic neural network based on annealing strategy(ACNN) solves KTSP.

56. ‘Bookending’ neural signals

57. Repressible protein of axon growth mainly participated in regulating axon guidance, guiding axon growth and assisting construction of the precise neural network.

58. What is a Generative Adversarial Network? A generative Adversarial network, or GAN, is a deep neural network framework which is able to learn from a set of training data and generate new data with the same characteristics as the training data

59. “The performance of even the most advanced of the neural-network computers . . . has about one ten-thousandth the mental capacity of a housefly.”

60. This paper presents the possibility of using Accelerometric data to optimise deep learning convolutional neural network systems to distinguish between ataxic and normal gait

61. First, image frizzy sets were taken as character space, and then the exact position was optimized by the 3 layer forward neural network algorithm.

62. Yeah, a neural transmitter.

63. We will provide frameworks for understanding the design space for deep neural network Accelerators including managing data movement, handling sparsity, and importance of flexibility

64. The inferential process of the fault diagnosis in the neural network is explained with an example of controlling coaling of decomposing furnace expert system.

65. Connectionism is a movement in cognitive science which hopes to explain human intellectual abilities using artificial neural networks (also known as ‘neural networks’ or ‘neural nets’).

66. When the EEG power spectrum was divided into the “classical” frequency bandwidths (alpha, beta1, beta2, theta, delta), both neural network and discriminant analysis performance deteriorated.

67. A new method of analysis to mixed inflammable gas with a heat catalytic sensor worked in different conditions through BP artificial neural network is introduced.

68. Harmonic music reduces neural activity.

69. Artificial neural network (ANN) algorithms were applied to this data for accurate estimation and prediction of spinal curvature using the Cobb angle for diagnosis and treatment.

70. The dissertation also lays the emphasis on studying an intelligent transportation method to fuzzy neural network base on genetic algorithm, which can realize traffic signal optimization.

71. Using complementarity of remote sensing information and ground monitoring information on water quality, a data fusion method based on neural network and evidence theory is proposed.

72. The achromatic neural channel has a faster response time than the chromatic neural channels under most conditions.

73. To determine the optical parameters of turbid media with an unpolarized backscattering light, an oblique incidence geometry with the compound BP neural network has been designed.

74. It's programmable behavior, neural design.

75. The invention relates to a neural network demodulating method based on the trellis encoding and modulating (TCM) technology which combines the convolutional encoding with the modulating.

76. We call this effect "neural entrainment."

77. Neural Arborizations are predominantly sympathetic inputs

78. This neural inhibitor is still functional.

79. It may overload your neural net.

80. And this sequence of neural activation is hypothesized to be the neural basis of those sequence of movements.