Introduction to PyTorch's deep learning practice notes 13 - Advanced chapter of cyclic neural network - Classification

stay Introduction to PyTorch's deep learning practice notes 12 - Fundamentals of circular neural network RNN is briefly introduced in. In the next 13 lectures, we introduce an application of neural network: implementing a classifier of cyclic neural network. 1 RNN Classifier – Name Classification Use RNN as a classifier. Look at this que ...

Posted by bri4n on Mon, 14 Feb 2022 14:32:15 +0100

Artificial intelligence -- Text Mining Based on LSTM

Learning objectives: Understand the basic principles of text mining.Master the method of text classification using LSTM. Learning content: In recent years, with wechat, microblog, mayor's mailbox, sunshine hotline and other online political platforms gradually becoming an important channel for the government to understand public opinion, gat ...

Posted by aquilina on Tue, 04 Jan 2022 19:31:05 +0100

Handwritten Chinese character generation using custom Layer and Cell (Tensorflow2)

preface This article is a masterpiece of Zhang XuYao and others Drawing and Recognizing Chinese Characters with Recurrent Neural Network Simplified reproduction of. This paper is divided into two parts. The first part is Online Chinese character recognition based on the Stacked LSTM Layer customized in the Layer layer, and the second part is C ...

Posted by bala_god on Mon, 06 Dec 2021 02:30:40 +0100

RNN process details

RNN and its code flow This paper focuses on the whole process of RNN rather than the derivation process of BP What is RNN Recurrent Neural Network Cyclic neural network Why do you need RNN? Ordinary neural networks can only deal with one input separately, and the former input has nothing to do with the latter input. However, some task ...

Posted by sebnewyork on Fri, 12 Nov 2021 22:02:07 +0100