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

The Book of Redgate: Do the Right Things

By

I do believe that Redgate has been very customer focused since it’s inception. I’ve...

How to Connect to SQL Server When Nothing Else Works – DAC

By

It's 2 AM. Your phone is going off. Users can't connect to the application,...

Get a Range of Sequence Values: #SQLNewBlogger

By

I discovered a procedure recently that I wasn’t aware of: sp_sequence_get_range. This post looks...

Read the latest Blogs

Forums

that one limitation in replication

By stan

Hi as shown below a replication target requires a primary key.  if we want...

Local Agents

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Local Agents

Detecting Deadlocks

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Detecting Deadlocks

Visit the forum

Question of the Day

Detecting Deadlocks

By default, how often is the SQL Server Database Engine checking for deadlocks?

See possible answers