convolutional in Vietnamese

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Sentence patterns related to "convolutional"

1. Aind Term 2 -- Lesson on Convolutional Neural Networks - GitHub - udacity/Aind2-cnn: Aind Term 2 -- Lesson on Convolutional Neural Networks

2. Error-Correcting codes are usually distinguished between convolutional codes and block codes: Convolutional codes are processed on a bit-by-bit basis.

3. In this post, I'll discuss commonly used Architectures for convolutional networks

4. A concatenated hybrid decoding algorithm for convolutional codes is presented.

5. Implementation of Graph Convolutional Networks in TensorFlow - gcn/ind.cora.Allx at master · tkipf/gcn

6. An iterative decoding scheme is proposed for the concatenation a convolutional code and a GMSK modulator.

7. Devices and methods for obtaining and using a priori information in decoding convolutional coded data

8. An iterative decoding scheme is proposed for the concatenation of a convolutional code and a GMSK modulator.

9. High-performing convolutional Architectures (which we’ll see later in this section) have shown network depth to be an important factor in CNNs

10. This is followed by a third convolutional layer that Convolves 64 filters of 3 x 3 with stride 1 followed by a rectifier

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

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

13. The idea behind a convolutional code is to make every codeword symbol be the weighted sum of the various input message symbols.

Ý định ở đây là làm cho tất cả các ký hiệu mã ký (codeword symbol) trở thành tổng trọng số (weighted sum) của nhiều loại ký hiệu thông điệp trong nhập liệu (various input message symbols).

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

15. Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion Adam Kortylewski, Ju He, Qing Liu, Alan Yuille CVPR 2020 Release Notes

16. 2 days ago · More information: Artur Petrosyan et al, Decoding and interpreting Cortical signals with a compact convolutional neural network, Journal of Neural …

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

18. Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition Abstract: Action recognition with skeleton data has recently attracted much attention in computer vision

19. Leverages a Cascaded architecture with three stages of carefully designed deep convolutional networks to predict face and land-mark location in a coarse-to-fine manner

20. 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.

21. As you'll see, almost all CNN Architectures follow the same general design principles of successively applying convolutional layers to the input, periodically downsampling the spatial dimensions while increasing the number of feature maps

22. In this paper, for the first time, we propose a method to estimate the Aberrator profile from an ultrasound B-mode image using a deep convolutional neural network (CNN) in order to compensate for the phase aberration effect

23. Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition Maosen Li1, Siheng Chen2, Xu Chen1, Ya Zhang1, Yanfeng Wang1, and Qi Tian3 1 Cooperative Medianet Innovation Center, Shanghai Jiao Tong University 2 Carnegie Mellon University 3 Huawei Noah’s Ark Lab {maosenli, xuchen2016, yahang, wangyanfeng } @sjtu.edu.cn, [email protected],