From c86575db3538cc309e1704ee7055e6a84d9c3afe Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Quentin=20Gallou=C3=A9dec?=
<45557362+qgallouedec@users.noreply.github.com>
Date: Wed, 5 Oct 2022 11:02:08 +0200
Subject: [PATCH] "for regression task"
---
README.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/README.md b/README.md
index 4e91bf8..14c26ad 100644
--- a/README.md
+++ b/README.md
@@ -104,7 +104,7 @@ Let $`Y`$ be the labels (desired output). We use mean squared error (MSE) as the
8. Similarly, express $`\frac{\partial C}{\partial W^{(1)}}`$ as a function of $`\frac{\partial C}{\partial Z^{(1)}}`$ and $`A^{(0)}`$.
9. Similarly, express $`\frac{\partial C}{\partial B^{(1)}}`$ as a function of $`\frac{\partial C}{\partial Z^{(1)}}`$.
-Below is a Python code performing a forward pass and computing the cost in a network containing a hidden layer and using the sigmoid function as the activation function:
+Below is a Python code performing a forward pass and computing the cost in a network containing one hidden layer for the regression task. It uses the sigmoid function as the activation function:
```python
import numpy as np
--
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