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
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
In-depth Learning 100 Cases-Loop Neural Network (LSTM) to Realize Stock Forecasting|Day 10
🔥 This article GitHub https://github.com/kzbkzb/Python-AI Included
1. Preface
Today is the 10th day, we will use LSTM to forecast the opening price of the stock. The final R2 will reach 0.74, which is two percentage points higher than the traditional RNN of 0.72.
My environment:
Language environment: Python 3.6.5Compiler: jupyter not ...
Posted by minifairy on Thu, 21 Oct 2021 11:33:47 -0700