The problem in the conv_backward_naive

[ChuyuWang949]

In this function, the author uses the np.insert() function to supplement the missing rows and columns in dout. Just like: dout = np.insert(dout, range(1, H_o), [[0]]*(stride-1), axis=2) if stride > 1 else dout But when the stride is more than 3, this cannot be done because dout is missing at least two columns between each column element, as well as between rows, and np.insert() cannot insert more than one row in more than one row at a time. np.insert() only can insert one row in more than one row at a time.

[mantasu]

You're right. To insert multiple rows/cols, indices should be repeated rather than values.

[ChuyuWang949]

Yes！ That's how it works