Deep Learning - Choosing Network Size

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How many nodes and layers do we need? We combine elements of scikit learn and Keras Neural Nets in this lesson.

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Thanks, can you help me to understand keras tuner optimization

الدينوالحياة-خي

You do very useful videos. I learn a lot. Could you please explain from where I start for LSTM initial layer size? Next Layer size? Depends in quantity of inputs/features?

whocareswhoiamday

Sir is there an explanation for why we go for the pyramidal structure?

shahbazquraishy

I would have thought that the bigger the batch size the better, does any body have an explanation for this result?

sergior.m.

I can't get my collab to read the csv

timmik.rysgaard

The github link is broken. It would be help if you can you provide the alternate link.

KrishnanandSinghGeek

interesting but i wish the option set was pre-defined

MrSupportDemocracy

There is sound but it seems to not always be there. Otherwise very good. Thanks

slideroolz

It's really helpful. But how did you selected the number 30 for layers? is it dependent on number of input features or you selected it randomly?

saumyashah

I guess the grid_result.best_score_ is the test score rather than the train score. There is no validation_split in the .fit() call, so how is the test data taken?

rajilsaraswat

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