Seq2Seq attention English Translation Code Implementation+Detailed Attention Mechanism

Say nothing but code Data Loading Class from io import open import unicodedata import re import random import torch import torch.nn as nn import torch.nn.functional as F from torch import optim # Register Driver device = torch.device("cuda" if torch.cuda.is_available() else "cpu") # Start Mark SOS_token = 0 EOS_token = 1 class Lang(): ...

Posted on Wed, 27 Oct 2021 13:21:00 -0400 by TheHyipSite

Implementation of automatic parameter adjustment based on Bayesian optimization method

1. Bayesian optimization method (attention is a method, an idea) Bayesian Optimization establishes an alternative function (probability model) based on the past evaluation results of the objective function to find the value of the minimization objective function. The difference between Bayesian method and random or grid search is that it w ...

Posted on Wed, 27 Oct 2021 11:35:41 -0400 by Joe_Dean

How to deal with missing values in machine learning

How to deal with missing values in machine learning Note: this data is from kaggle, please stamp for details here , original reference connection, please stamp here , this paper is a long one, which aims to introduce some ideas and details in the process of EDA. 1, Introduction The purpose of this EDA(Exploratory Data Analysis) is ...

Posted on Thu, 23 Sep 2021 05:58:16 -0400 by g00bster

Human words explain linear regression and gradient descent

from sklearn.datasets import load_boston from sklearn.model_selection import train_test_split from sklearn.preprocessing import StandardScaler from sklearn.linear_model import LinearRegression from sklearn.metrics import mean_squared_error from sklearn.linear_model import SGDRegressor import pandas as pd def linear_model(): # get data ...

Posted on Tue, 21 Sep 2021 16:58:37 -0400 by xwishmasterx