Regarding Exercise 1 - djmodel, I’m confused about instruction 2A and 2B:

```
2A. Select the 't' time-step vector from `X` .
* X has the shape (m, Tx, n_values).
* The shape of the 't' selection should be (n_values,).
* Recall that if you were implementing in numpy instead of Keras,
you would extract a slice from a 3D numpy array like this:
var1 = array1[:,1,:]
2B. Reshape `x` to be (1, n_values).
Use the `reshaper()` layer. This is a function that takes the
previous layer as its input argument.
```

I’m confused as to why the shape of the ‘t’ selection should be (n_values,) instead of (m, n_values), since the example given array1[:,1,:] returns a 2D array. I’m also not sure how the reshaper() handles batches.