From 9444fc4ba2b12032de66ec1903a2c04c8fc046fb Mon Sep 17 00:00:00 2001
From: Atul Deshpande <159980686+AtulDeshpande09@users.noreply.github.com>
Date: Sat, 2 Aug 2025 11:58:30 +0530
Subject: [PATCH 1/4] Create erfc.md

---
 .../tensor-operations/terms/erfc/erfc.md      | 61 +++++++++++++++++++
 1 file changed, 61 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md b/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md
new file mode 100644
index 00000000000..eeec48e99f9
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md
@@ -0,0 +1,61 @@
+---
+Title: '.erfc()'
+Description: 'Computes the complementary error function of input.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'Machine Learning'
+  - 'Python'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, The `torch.erfc()` function returns the complementary error function of input.\
+The complementary error function is defined as follows:\
+$erfc(x)= 1 - \frac{2}{\sqrt{\pi}}\int_0^1 e^{-t^2} dt$
+
+## Syntax
+
+```pseudo
+torch.erfc(input, *, out=None) → Tensor
+```
+
+OR
+
+```pseudo
+torch.special.erfc(input, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input`: The input tensor.
+- `out` (optional): A tensor to store the output. If provided, the result is written to this tensor.
+
+**Return value:**
+
+It returns a new Tensor of the same shape as the input, containing the computed complementary error function values for each corresponding element.
+
+## Example
+
+In this example, we compute the complementary error function values of each tensor using `torch.erfc()`:
+
+```py
+import torch
+
+# Define a tensor
+x = torch.tensor([0, -1., 10.])
+
+result = torch.erfc(x)
+
+print(result)
+```
+
+Here is the output:
+
+```shell
+tensor([ 1.0000, 1.8427,  0.0000])
+```

From c1b3641064636f48fa575781abb22522546365f3 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Mon, 4 Aug 2025 16:38:22 +0530
Subject: [PATCH 2/4] Update erfc.md

---
 .../concepts/tensor-operations/terms/erfc/erfc.md    | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md b/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md
index eeec48e99f9..0effb75165c 100644
--- a/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md
+++ b/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md
@@ -14,9 +14,9 @@ CatalogContent:
   - 'paths/computer-science'
 ---
 
-In PyTorch, The `torch.erfc()` function returns the complementary error function of input.\
-The complementary error function is defined as follows:\
-$erfc(x)= 1 - \frac{2}{\sqrt{\pi}}\int_0^1 e^{-t^2} dt$
+In PyTorch, the `torch.erfc()` function returns the complementary error function of of each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). The complementary error function is defined as follows:
+
+$$erfc(x)= 1 - \frac{2}{\sqrt{\pi}}\int_0^1 e^{-t^2} dt$$
 
 ## Syntax
 
@@ -24,7 +24,7 @@ $erfc(x)= 1 - \frac{2}{\sqrt{\pi}}\int_0^1 e^{-t^2} dt$
 torch.erfc(input, *, out=None) → Tensor
 ```
 
-OR
+Or,
 
 ```pseudo
 torch.special.erfc(input, *, out=None) → Tensor
@@ -54,8 +54,8 @@ result = torch.erfc(x)
 print(result)
 ```
 
-Here is the output:
+The output of this code is:
 
 ```shell
-tensor([ 1.0000, 1.8427,  0.0000])
+tensor([1.0000e+00, 1.8427e+00, 1.4013e-45])
 ```

From 0516d478c21ecdd6029f2f6b9489085fe3936947 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Mon, 4 Aug 2025 16:39:52 +0530
Subject: [PATCH 3/4] Update erfc.md

---
 content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md b/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md
index 0effb75165c..ad5f0ed4008 100644
--- a/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md
+++ b/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md
@@ -14,7 +14,7 @@ CatalogContent:
   - 'paths/computer-science'
 ---
 
-In PyTorch, the `torch.erfc()` function returns the complementary error function of of each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). The complementary error function is defined as follows:
+In PyTorch, the **`torch.erfc()`** function returns the complementary error function of of each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). The complementary error function is defined as follows:
 
 $$erfc(x)= 1 - \frac{2}{\sqrt{\pi}}\int_0^1 e^{-t^2} dt$$
 

From b164c069d063864045bd1793fa7aee065485fccf Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Fri, 8 Aug 2025 14:06:55 +0530
Subject: [PATCH 4/4] Update erfc.md

---
 .../pytorch/concepts/tensor-operations/terms/erfc/erfc.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md b/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md
index ad5f0ed4008..44c64281f32 100644
--- a/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md
+++ b/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md
@@ -14,7 +14,7 @@ CatalogContent:
   - 'paths/computer-science'
 ---
 
-In PyTorch, the **`torch.erfc()`** function returns the complementary error function of of each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). The complementary error function is defined as follows:
+In PyTorch, the **`.erfc()`** function returns the complementary error function of of each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). The complementary error function is written as:
 
 $$erfc(x)= 1 - \frac{2}{\sqrt{\pi}}\int_0^1 e^{-t^2} dt$$
 
@@ -33,15 +33,15 @@ torch.special.erfc(input, *, out=None) → Tensor
 **Parameters:**
 
 - `input`: The input tensor.
-- `out` (optional): A tensor to store the output. If provided, the result is written to this tensor.
+- `out` (Optional): A tensor to store the output. If provided, the result is written to this tensor.
 
 **Return value:**
 
-It returns a new Tensor of the same shape as the input, containing the computed complementary error function values for each corresponding element.
+It returns a new tensor of the same shape as the input, containing the computed complementary error function values for each corresponding element.
 
 ## Example
 
-In this example, we compute the complementary error function values of each tensor using `torch.erfc()`:
+In this example, we compute the complementary error function values of each tensor using `.erfc()`:
 
 ```py
 import torch