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edited forward prop formula #180

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edited forward prop formula #180

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4 changes: 2 additions & 2 deletions 1- Neural Networks and Deep Learning/Readme.md
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Expand Up @@ -593,14 +593,14 @@ Here are the course summary as its given on the course [link](https://www.course

```
z[l] = W[l]a[l-1] + b[l]
a[l] = g[l](a[l])
a[l] = g[l](z[l])
```

- Forward propagation general rule for `m` inputs:

```
Z[l] = W[l]A[l-1] + B[l]
A[l] = g[l](A[l])
A[l] = g[l](Z[l])
```

- We can't compute the whole layers forward propagation without a for loop so its OK to have a for loop here.
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