From 0fbb04b070e16a0239a1ac47d118503b5050a033 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9CShashank?= <shashanktyagiji12345@gmail.com>
Date: Tue, 15 Oct 2024 10:15:47 +0530
Subject: [PATCH] Add LSTM algorithm implementation in neural network section

---
 neural_network/lstm.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/neural_network/lstm.py b/neural_network/lstm.py
index 638db6fec..ed6f6064c 100644
--- a/neural_network/lstm.py
+++ b/neural_network/lstm.py
@@ -7,9 +7,11 @@ Detail: Total 3 layers neural network
 * Output layer
 Author: Shashank Tyagi
 Github: LEVII007
-Date: [Current Date]
+link : https://www.kaggle.com/code/navjindervirdee/lstm-neural-network-from-scratch
 """
 
+
+
 ##### Explanation #####
 # This script implements a Long Short-Term Memory (LSTM) network to learn and predict sequences of characters.
 # It uses numpy for numerical operations and tqdm for progress visualization.