138 - The need for scaling, dropout, and batch normalization in deep learning

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Scaling / Normalizing
Batchnormalization
Dropout
Using Keras

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You are the best one that explains the deep learning concepts .. thank you very much dear teacher

hudaankara
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Following your videos will make sure person will be excellent at ML and DL You are pin pointing some of the issues which are not addresed by others... excellent work.. thanks... best wishes

yashodhanvivek
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Awesome explanation !!!! Keep sharing your valuable knowledge

lokeshbaviskar
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Awesome! Thanks for sharing your knowledge. It's very informative.

leamon
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Thank you so much for your effort. It helped me a lot.

bishnukarki
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You can totally replace scaling with Batch Normalization. If you add Batch Normalization layer as a first layer in your network, then your inputs will be normalized a.k.a scaled right before being fed into neural network.

BeketMyrzanov
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Nice lecture but why the dropout is used before the max pooling later. ?

JaydeepSinghTindori
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i have a question, i have a lager dataset contains 2381 features (ember dataset) when i want to use it and converted to an image grayscale 48*48, i must remove 77 features but I want to remove the unuseful features how i van remove these 77 features pleas

rabieelhakouni
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How do you scale inputs when it comes to using a trained model?

thejll
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Normalizing is ok but while using the trained model we need to normalize the input with the same scaling parameters. How do we do that?.

mr.shouvikdey
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First, thank you so much.

Second, I would like to ask, how can I visualize the output of Conv layer of the trained model?

abderrahmaneherbadji
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Sir, why do I get error when I was running BatchNormalization. I look for the solution but I did not find it. So Can you help me?
ImportError: cannot import name 'BatchNormalization' from 'keras.layers.normalization'
Is there the other file for BatchNormalization?or it is a function? method? I installed all, Keras, TensorFlow, batch, and normalization. I have a confusing. Thanks before. Greeting.

indointanchannel
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thank you sir. im new into ur channel 💙

danielniels
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Thanks for the great video. Do you have results also by applying dropout after batch normalization and would the order of applying {dropout and batch normalization} matter? I am more interested also in MLP case. Thanks!

heshamabdelghany
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Thanks for sharing!!Can we use dropout in time series forecasting with deep learning methods ?

teeg-wendezougmore
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When u finish the explanation of this topics could you make some videos about VAEs? 😬

lendixful