From 2e91044e50b0592b51420a6c5bc750237596a21a Mon Sep 17 00:00:00 2001
From: Adwaith <80775046+Grayson-code@users.noreply.github.com>
Date: Sat, 16 Aug 2025 19:58:15 +0530
Subject: [PATCH 1/3] Fix LaTeX cell issue

---
 docs/00_pytorch_fundamentals.ipynb | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/docs/00_pytorch_fundamentals.ipynb b/docs/00_pytorch_fundamentals.ipynb
index b9aa64bc..a1bed2e0 100644
--- a/docs/00_pytorch_fundamentals.ipynb
+++ b/docs/00_pytorch_fundamentals.ipynb
@@ -1907,9 +1907,11 @@
     "\n",
     "The [`torch.nn.Linear()`](https://pytorch.org/docs/1.9.1/generated/torch.nn.Linear.html) module (we'll see this in action later on), also known as a feed-forward layer or fully connected layer, implements a matrix multiplication between an input `x` and a weights matrix `A`.\n",
     "\n",
-    "$$\n",
-    "y = x\\cdot{A^T} + b\n",
-    "$$\n",
+    "\n",
+    $$,
+    "y = x \cdot A^\top + b",
+    $$,
+    "\n",
     "\n",
     "Where:\n",
     "* `x` is the input to the layer (deep learning is a stack of layers like `torch.nn.Linear()` and others on top of each other).\n",

From 48383c062087af796fdd9c696357f597cf9925da Mon Sep 17 00:00:00 2001
From: Adwaith <80775046+Grayson-code@users.noreply.github.com>
Date: Sat, 16 Aug 2025 20:03:02 +0530
Subject: [PATCH 2/3] Update 00_pytorch_fundamentals.ipynb

---
 docs/00_pytorch_fundamentals.ipynb | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/docs/00_pytorch_fundamentals.ipynb b/docs/00_pytorch_fundamentals.ipynb
index a1bed2e0..fa686770 100644
--- a/docs/00_pytorch_fundamentals.ipynb
+++ b/docs/00_pytorch_fundamentals.ipynb
@@ -1908,9 +1908,7 @@
     "The [`torch.nn.Linear()`](https://pytorch.org/docs/1.9.1/generated/torch.nn.Linear.html) module (we'll see this in action later on), also known as a feed-forward layer or fully connected layer, implements a matrix multiplication between an input `x` and a weights matrix `A`.\n",
     "\n",
     "\n",
-    $$,
-    "y = x \cdot A^\top + b",
-    $$,
+    "$$ y = x \\cdot A^\\top + b $$"
     "\n",
     "\n",
     "Where:\n",

From ddabcddd47cfeaed07f92f4b5b9df8b99a65029e Mon Sep 17 00:00:00 2001
From: Adwaith <80775046+Grayson-code@users.noreply.github.com>
Date: Sat, 16 Aug 2025 20:04:57 +0530
Subject: [PATCH 3/3] Update 00_pytorch_fundamentals.ipynb

---
 docs/00_pytorch_fundamentals.ipynb | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

diff --git a/docs/00_pytorch_fundamentals.ipynb b/docs/00_pytorch_fundamentals.ipynb
index fa686770..df50c5c7 100644
--- a/docs/00_pytorch_fundamentals.ipynb
+++ b/docs/00_pytorch_fundamentals.ipynb
@@ -1907,9 +1907,7 @@
     "\n",
     "The [`torch.nn.Linear()`](https://pytorch.org/docs/1.9.1/generated/torch.nn.Linear.html) module (we'll see this in action later on), also known as a feed-forward layer or fully connected layer, implements a matrix multiplication between an input `x` and a weights matrix `A`.\n",
     "\n",
-    "\n",
-    "$$ y = x \\cdot A^\\top + b $$"
-    "\n",
+    "$$ y = x \\cdot A^\\top + b $$\n",
     "\n",
     "Where:\n",
     "* `x` is the input to the layer (deep learning is a stack of layers like `torch.nn.Linear()` and others on top of each other).\n",
@@ -1924,8 +1922,8 @@
     "\n",
     "Try changing the values of `in_features` and `out_features` below and see what happens.\n",
     "\n",
-    "Do you notice anything to do with the shapes?"
-   ]
+    "Do you notice anything to do with the shapes?\n"
+  ]
   },
   {
    "cell_type": "code",