## Detailed understanding of input, output and parameters of RNN, LSTM and GRU, the basic units of cyclic neural network in pytorch

This article is for those who have deeply understood the mathematical principles and operation process of RNN, LSTM and GRU. If they do not understand its basic idea and process, it may not be very simple to understand.
1, Let's start with an example
This is an example on the official website. Taking LSTM as an example this tim ...

Posted by **oocuz** on *Wed, 10 Nov 2021 21:46:30 -0800*

## Hands on learning and deep learning -- Realizing recurrent neural network RNN from scratch

[note]: the data of two books are loaded here, both of which are mentioned in Li Mu's divine book. Since the code encapsulated by Mu Shen is loaded Time machine, I copied the code of the previous two blogs here to load the Star Wars dataset. The following content is a reproduction of Mu God's curriculum and code. I will mark the knowledge p ...

Posted by **pkmleo** on *Sun, 07 Nov 2021 23:55:29 -0800*

## Learning notes - hands on deep learning (RNN, GRU, LSTM)

abstract
The first part of this section mainly reviews the computational logic of RNN model, the difference between RNN model and MLP, as well as the characteristics, defects and solutions of RNN (gradient clipping), and then takes the text data set as the training sample to realize the RNN prediction model from scratch, and the concise im ...

Posted by **cliftonbazaar** on *Sun, 31 Oct 2021 02:58:01 -0700*