Tensors for Data Processing: Theory, Methods and Applications presents both classical and state-of-the-art methods on tensor computation for data processing, covering computation t ... read full description Purchase book Share this bookBrowse content ...
Tensors for Data Processing: Theory, Methods and Applications presents both classical and state-of-the-art methods on tensor computation for data processing, covering computation theories, processing methods, computing and engineering applications, with an emphasis on techniques for data processing. This...
- october 21, 2021 imprint: academic press editor: yipeng liu language: english paperback isbn: 9780128244470 9 7 8 - 0 - 1 2 - 8 2 4 4 4 7 - 0 ebook isbn: 9780323859653 9 7 8 - 0 - 3 2 3 - 8 5 9 6 5 - 3 tensors for data processing: theory, methods and applications ...
这本Tensors for Data Processing 讲述了张量的理论。关于张量,因为存储空间巨大,我稍微改进了一下相关理论,在国际学术会议 IEEE ICISCAE 2021 发表了一篇题为 MatMat: Matrix Factorization by Matrix Fitting 的论文,获得了最佳论文报告奖。 读这本书的时候,收获很多,细节不在这里讲。 昨天回家之后刷微信公众号,发...
Tensors: An abstraction for general data processing Dimitrios Koutsoukos, Supun Nakandala, Konstantinos Karanasos, Karla Saur, Gustavo Alonso, Matteo Interlandi VLDB 2021|December 2020 Publication Deep Learning (DL) has created a growing demand for simpler ways to develop complex models and effic...
Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data. javascript data-science tensorflow table pandas stream-processing data-analytics data-analysis data-manipulation tensors dataframe stream-dat...
Now, suppose we want to access (refer to) the number 3 in this data structure. In this case, we need two indexes to locate the specific element. > dd[0][2] 3 This logic works the same for a matrix. Note that, if we have a number or scalar, we don't need an index, we...
However, after setting data[0]=0, we can see some of our tensors have changes. The first two o1 and o2 still have the original value of 1 for index 0, while the second two o3 and o4 have the new value of 0 for index 0. ...
By concatenating the tensors along a specific dimension, you can easily perform this data processing in a more streamlined manner. For example, if you wanted to average the elements of a and b, you could do so using the following code: a = torch.tensor([[1, 2], [3, 4]]) b = ...
Import times for custom nodes: 2025-01-10T00:32:59.739268 - 0.0 seconds: X:\ComfyUI_2024\ComfyUI\custom_nodes\websocket_image_save.py 2025-01-10T00:32:59.739268 - 0.0 seconds: X:\ComfyUI_2024\ComfyUI\custom_nodes\ComfyUI-Image-Selector ...