Long Short Term Memory Networks

1
Long Short Term Memory Networks (LSTMs) In Deep
Learning
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
2
Table Of Content

1. What Is a LSTMs Algorithm?
2. Why Is the LSTMs Algorithm Important?
3. How Does LSTMs Algorithm Work?
4. Applications Of LSTMs Algorithm

https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
3
What Is a LSTMs Algorithm?
Long short-term memory networks are employed in
deep learning. Recurrent neural networks can
learn long-term dependencies, especially in
sequencing prediction tasks.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
4
Why Is the LSTMs Algorithm Important?
Because it enables the learning of even more
parameters, the Long short-term memory cell
increases long-term memory even more
efficiently. As a result, it is the most
effective for predicting, particularly when your
data show a longer-term trend.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
5
How Does LSTMs Algorithm Work?
A series of gates used by Long short - term
memory regulate how data in a series enters, is
saved in, and leaves the network. A common Long
short - term memory has three gates an outputs
gate, an input gate, and a forget gate. Every
one of these gates is a separate neural network
and may be considered to function as a filter.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
6
Applications Of LSTMs Algorithm
Due to their ability to understand long- term
connections between data clock cycles, Long
short-term memory networks are frequently used
to understand, analyze, and categorize sequence
information. Sentiment analysis, language
processing, voice recognition, and video
analysis are examples of common Long short-term
memory network applications. https//1stepgrow.co
m/course/advance-data-science-and-artificial-intel
ligence-course/
7
THANK YOU!
For Information,Please Visit https//1stepgrow.c
om/