tensorflow-deep-learning
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Changes made on the default parameters of Text Vectorizer
The parameter in Text Vectorizer, which is pad_to_max_tokens
has been changes from True
to False
.
From The Video:
From the Docs
I don't know if it will make my model perform worse or not. I haven't trained my model yet. But I did notice something which is, even if I set
pad_to_max_tokens= False
which is by default then also it is padding the integer tensor with zeroes at the end
So I am a bit confused now. Let me train my model and check the accuracy score then I think the confusion will go away.
My Text Vectorizer Config:
I don't think it had any or little effect
on the outcome of the project. All worked out perfectly for me. I don't know I am still a bit confused about it. If anyone could explain what is happening that would be great. Thanks in advance for it.