"VV Square"building, Plot.No.TS 710/1b1 & 2B1, CMC Ward No 18, Moka road, Gandhinagar, Ballari-583 101. 583101 Bellari IN
Kendriya Vidyalaya Ballari
"VV Square"building, Plot.No.TS 710/1b1 & 2B1, CMC Ward No 18, Moka road, Gandhinagar, Ballari-583 101. Bellari, IN
+918050151380 https://www.trendypaper.com/s/5b1a00c581a9afd8ff765190/ms.settings/5256837ccc4abf1d39000001/5b928defbda50e15d4c76434-480x480.png" [email protected]
9789391392574- 63f9e4083ab8aac06805fe38 Time Series Forecasting Using Deep Learning? https://www.trendypaper.com/s/5b1a00c581a9afd8ff765190/64df46a1849a15ef625815d3/546_front_200x.jpg This book is amid at teaching the readers how to apply the deep learning techniques to the time series forecasting challenges and how to build prediction models using PyTorch.

The readers will learn the fundamentals of PyTorch in the early stages of the book. Next, the time series forecasting is covered in greater depth after the programme has been developed. You will try to use machine learning to identify the patterns that can help us forecast the future results. It covers methodologies such as Recurrent Neural Network, Encoder-decoder model, and Temporal Convolutional Network, all of which are state-of-the-art neural network architectures. Furthermore, for good measure, we have also introduced the neural architecture search, which automates searching for an ideal neural network design for a certain task. Relevant Links: Drawing And Painting Course With Online Content On Dropbox 1 Books OnlineAgricultural Economics Models Problems And Policy Issues Books OnlineBanking Reforms And Lead Bank Scheme Books OnlineIndia Through Archaeology Excavating History English Books OnlineMadhubun Sulekh Pustika Workbook For Pre Primer Books OnlineThe Lonely Century A Call To Reconnect Books OnlineTargeting Mental Maths 4 Books OnlineThe Power Of Influence Hindi Books OnlineCk Mini Tortoise Books Online
9789391392574-
in stock INR 899
BPB Publications
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This book is amid at teaching the readers how to apply the deep learning techniques to the time series forecasting challenges and how to build prediction models using PyTorch.

The readers will learn the fundamentals of PyTorch in the early stages of the book. Next, the time series forecasting is covered in greater depth after the programme has been developed. You will try to use machine learning to identify the patterns that can help us forecast the future results. It covers methodologies such as Recurrent Neural Network, Encoder-decoder model, and Temporal Convolutional Network, all of which are state-of-the-art neural network architectures. Furthermore, for good measure, we have also introduced the neural architecture search, which automates searching for an ideal neural network design for a certain task. Relevant Links: Drawing And Painting Course With Online Content On Dropbox 1 Books OnlineAgricultural Economics Models Problems And Policy Issues Books OnlineBanking Reforms And Lead Bank Scheme Books OnlineIndia Through Archaeology Excavating History English Books OnlineMadhubun Sulekh Pustika Workbook For Pre Primer Books OnlineThe Lonely Century A Call To Reconnect Books OnlineTargeting Mental Maths 4 Books OnlineThe Power Of Influence Hindi Books OnlineCk Mini Tortoise Books Online

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