External Article

Long Short-Term Memory Network for Machine Learning

While Recurrent Neural Networks (RNN) are powerful, they often struggle with long-term dependencies due to the vanishing gradient problem. Long Short-Term Memory Networks (LSTMs) address this issue by introducing memory cells and gates. For beginners, understanding LSTM components, such as the input, output, and forget gates, can be challenging. This tip breaks down LSTMs in an intuitive way, highlighting their importance and practical applications.

Blogs

Solving SQL Server Mysteries with a Whole Gang of Sleuths -Scooby Dooing Episode 4

By

One thing I’ve always loved about the Scooby-Doo cartoon is that he never solved...

SQL Server Availability Groups

By

Flexibility and Scale at the Database Level When SQL Server 2012 introduced Availability Groups...

Modify Power BI page visibility and active status with Semantic Link Labs

By

Setting page visibility and the active page are often overlooked last steps when publishing...

Read the latest Blogs

Forums

Password Guidance

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Password Guidance

Using table variables in T-SQL

By Alessandro Mortola

Comments posted to this topic are about the item Using table variables in T-SQL

Azure elastic query credential question

By cphite

I am trying to check out elastic query between two test instances we have...

Visit the forum

Question of the Day

Using table variables in T-SQL

What happens if you run the following code in SQL Server 2022+? 

declare @t1 table (id int);

insert into @t1 (id) values (NULL), (1), (2), (3);

select count(*)
from @t1
where @t1.id is distinct from NULL;
 

See possible answers