From 7b05c9f9dc0ad0be6f74afe57501f3f17026b032 Mon Sep 17 00:00:00 2001
From: "sweep-nightly[bot]"
 <131841235+sweep-nightly[bot]@users.noreply.github.com>
Date: Thu, 12 Oct 2023 22:07:02 +0000
Subject: [PATCH] feat: Add CNN class for MNIST dataset

---
 src/cnn.py | 28 ++++++++++++++++++++++++++++
 1 file changed, 28 insertions(+)
 create mode 100644 src/cnn.py

diff --git a/src/cnn.py b/src/cnn.py
new file mode 100644
index 0000000..2062dfd
--- /dev/null
+++ b/src/cnn.py
@@ -0,0 +1,28 @@
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+class CNN(nn.Module):
+    """
+    Convolutional Neural Network (CNN) class.
+    """
+    def __init__(self):
+        """
+        Initialize the layers of the CNN.
+        """
+        super(CNN, self).__init__()
+        self.conv1 = nn.Conv2d(1, 32, kernel_size=3, stride=1, padding=1)
+        self.pool = nn.MaxPool2d(kernel_size=2, stride=2)
+        self.fc1 = nn.Linear(32 * 14 * 14, 128)
+        self.fc2 = nn.Linear(128, 10)
+
+    def forward(self, x):
+        """
+        Implement the forward pass of the CNN.
+        """
+        x = F.relu(self.conv1(x))
+        x = self.pool(x)
+        x = x.view(-1, 32 * 14 * 14)
+        x = F.relu(self.fc1(x))
+        x = self.fc2(x)
+        return F.log_softmax(x, dim=1)