RNN_Addition_1stgrade

RNN_Simple_Addition_Public.ipynb

Hi Rajiv, thank you so much for your example.
May I know the reason for using seq2seq.rnn_decoder() in your code? I've tried search on the web and many of the examples are related to language translation. And I really cannot find documentation which talks about the TensorFlow seq2seq class.
Thanks a lot.

Hi Rajiv, thank you so much for your example.
May I know the reason for using seq2seq.rnn_decoder() in your code? I've tried search on the web and many of the examples are related to language translation. And I really cannot find documentation which talks about the TensorFlow seq2seq class.
Thanks a lot.

I found the documentation deep in the tensorflow ops code
It explains how the decoder operates. Does this help?

I found the documentation deep in the tensorflow ops code
It explains how the decoder operates. Does this help?

Got it. Thank you so much 👍

Got it. Thank you so much 👍

Hi Rajiv,
Can I ask what the purpose of the dropout layer is in a problem such as this? When training for something like addition don't we need to know all of the inputs?
Thanks,
Jack

Hi Rajiv,
Can I ask what the purpose of the dropout layer is in a problem such as this? When training for something like addition don't we need to know all of the inputs?
Thanks,
Jack

Hmm, its a good question. This was one of my first RNNs and I just grabbed code from other projects. I am thinking that it would work like dropout generally, it would help against overfitting and get a better sense of how addition works. If you have the time, I would be curious if you played around with the dropout whether it works like that.

Hmm, its a good question. This was one of my first RNNs and I just grabbed code from other projects. I am thinking that it would work like dropout generally, it would help against overfitting and get a better sense of how addition works. If you have the time, I would be curious if you played around with the dropout whether it works like that.