deep-learning-with-python-notebooks
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fchollet
3.5-classifying-movie-reviews Further experiments
In this example (IMDB) the author asks to use 1 or 3 hidden layers
We were using 2 hidden layers. Try to use 1 or 3 hidden layers and see how it affects validation and test accuracy.
These experiments will help convince you that the architecture choices we have made are all fairly reasonable, although they can still be improved!
when using 2 hidden layers as he did you get 0.884 ... when i used one hidden layer i get 0.887 which got me confused,, not sure why 2 layers sound like "optimal architecture"?
ref: https://github.com/fchollet/deep-learning-with-python-notebooks/blob/master/3.5-classifying-movie-reviews.ipynb
Dear @hkhrais ,
I think the meaning is not pursue that using less layer is better. Only get experience, in this data the more layer is maybe not linear than better. With me, I will not concentrate to more dense (I tried 3-layer and the result is the same to 2-layer model, loss more time). As book's recommendation we can try with another method to improve model. I did not use Relu, and constitute by tanh and got a little improvement. https://colab.research.google.com/drive/15kQxc7vqVoMGj2zgzVN9ss4iqukjHkrE?authuser=1 I hope it is useful to you!
