From 2b636e03576dc1d544770b0ed7d0f2a0e7d6abaf Mon Sep 17 00:00:00 2001
From: Manoj Routhu <78267609+Manoj-Routhu@users.noreply.github.com>
Date: Sat, 14 Oct 2023 19:35:14 +0530
Subject: [PATCH 1/4] Update simple_neural_network.py

---
 neural_network/simple_neural_network.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/neural_network/simple_neural_network.py b/neural_network/simple_neural_network.py
index f2a3234873b5..ef98aaa446ad 100644
--- a/neural_network/simple_neural_network.py
+++ b/neural_network/simple_neural_network.py
@@ -24,6 +24,9 @@ def sigmoid_function(value: float, deriv: bool = False) -> float:
 # Initial Value
 INITIAL_VALUE = 0.02
 
+def forward_propagation(expected, number_propagations):
+    # Random weight initialization
+    weight = 2 * (random.random() - 0.5)
 
 def forward_propagation(expected: int, number_propagations: int) -> float:
     """Return the value found after the forward propagation training.
@@ -47,8 +50,9 @@ def forward_propagation(expected: int, number_propagations: int) -> float:
         layer_1_error = (expected / 100) - layer_1
         # Error delta
         layer_1_delta = layer_1_error * sigmoid_function(layer_1, True)
-        # Update weight
-        weight += INITIAL_VALUE * layer_1_delta
+        # Update weight using elementwise_multiply function
+        weight_list = elementwise_multiply(INITIAL_VALUE, layer_1_delta)
+        weight += sum(weight_list)
 
     return layer_1 * 100
 

From 1d6b28f2a0793b20a73ccdad9c5cfb66a1de8566 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Sat, 14 Oct 2023 14:08:02 +0000
Subject: [PATCH 2/4] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 neural_network/simple_neural_network.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/neural_network/simple_neural_network.py b/neural_network/simple_neural_network.py
index ef98aaa446ad..9fc085ab2b0f 100644
--- a/neural_network/simple_neural_network.py
+++ b/neural_network/simple_neural_network.py
@@ -24,10 +24,12 @@ def sigmoid_function(value: float, deriv: bool = False) -> float:
 # Initial Value
 INITIAL_VALUE = 0.02
 
+
 def forward_propagation(expected, number_propagations):
     # Random weight initialization
     weight = 2 * (random.random() - 0.5)
 
+
 def forward_propagation(expected: int, number_propagations: int) -> float:
     """Return the value found after the forward propagation training.
 

From 57c327603777764e822cd54063496a63798f3a9c Mon Sep 17 00:00:00 2001
From: Manoj Routhu <78267609+Manoj-Routhu@users.noreply.github.com>
Date: Sat, 14 Oct 2023 19:47:35 +0530
Subject: [PATCH 3/4] Update simple_neural_network.py

---
 neural_network/simple_neural_network.py | 9 +++------
 1 file changed, 3 insertions(+), 6 deletions(-)

diff --git a/neural_network/simple_neural_network.py b/neural_network/simple_neural_network.py
index 9fc085ab2b0f..fcc661fc6f88 100644
--- a/neural_network/simple_neural_network.py
+++ b/neural_network/simple_neural_network.py
@@ -21,15 +21,12 @@ def sigmoid_function(value: float, deriv: bool = False) -> float:
     return 1 / (1 + math.exp(-value))
 
 
+def elementwise_multiply(value, array):
+    return [value * x for x in array]
+
 # Initial Value
 INITIAL_VALUE = 0.02
 
-
-def forward_propagation(expected, number_propagations):
-    # Random weight initialization
-    weight = 2 * (random.random() - 0.5)
-
-
 def forward_propagation(expected: int, number_propagations: int) -> float:
     """Return the value found after the forward propagation training.
 

From 936f271f4847edbdde5412462ea31a53353a5933 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Sat, 14 Oct 2023 14:21:14 +0000
Subject: [PATCH 4/4] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 neural_network/simple_neural_network.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/neural_network/simple_neural_network.py b/neural_network/simple_neural_network.py
index fcc661fc6f88..fd9143fcb910 100644
--- a/neural_network/simple_neural_network.py
+++ b/neural_network/simple_neural_network.py
@@ -24,9 +24,11 @@ def sigmoid_function(value: float, deriv: bool = False) -> float:
 def elementwise_multiply(value, array):
     return [value * x for x in array]
 
+
 # Initial Value
 INITIAL_VALUE = 0.02
 
+
 def forward_propagation(expected: int, number_propagations: int) -> float:
     """Return the value found after the forward propagation training.