Week 1 - Assignment 2 Dino model() function

Course Q&A Deep Learning Specialization Sequence Models
1

Hello everyone, today I’m trying to do the exercice and I don’t know where is my mistake, I did this code:

{mentor edit: code removed - not allowed by the Honor Code}

and I have this error:

~/work/W1A2/utils.py in rnn_forward(X, Y, a0, parameters, vocab_size)
100
101 # Update the loss by substracting the cross-entropy term of this time-step from it.
→ 102 loss -= np.log(y_hat[t][Y[t],0])
103
104 cache = (y_hat, a, x)

TypeError: ‘int’ object is not subscriptable

Someone can help me?
Thanks

2

Please edit your message and remove your code. Posting your code breaks the course Honor Code.

(edit: bad advice removed)

4

Hello TMosh, for me not appear the option to edit the post, I don’t know why, I’m checking your points, thanks

5

I’ll remove the code from your message.

Also, some of my advice was wrong, since those related to code that is provided for you. I’ve edited my replies.

1 Like
6

Also, I’ve edited the thread title to put it in the correct exercise (C5 Week 1 Assignment 2, function “model()”.

1 Like
7

I think I found the problem. Your reference to X[1] should be X[1:].

  • X[1] only gives you one letter.
  • X[1:] gives you all the letters after the skipping the first element.
1 Like