Introduction to character level CNN in text classification with PyTorch Implementation

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This is an introduction to Character-Based Convolutional Neural Networks for text classification.

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6:58 Is there something else that contributes to the output shape (1, 1, 136) other than the kernel size and input size?? Please correct me if I am wrong but to my understanding the output shape should be (1, 1, 138). Thx for the great tutorial !! Saved a lot of hassle

chaeheumpark

Content is perfect. One problem? Too few videos. The community needs your knowledge to be shared more!!

theDrewDag

Very helpful video, thank you for sharing!

gohjiayi

The shape of the kernel that you presented at 5:28 confused me a little bit. It looks like your kernel is of the shape (1, 3), but it is actually of the shape (70, 3). 1D convolution does not necessarily mean that our kernel is one-dimensional. Otherwise the result of the convolution would be the same for texts of the same length.

julianwittek

Hi Ahmed, whenever i try to run train.py i am always encounted with
'tuple' object has no attribute 'cuda'

kindly help please

bawadhruv

Thanks for sharing! Is it possible sharing the training data also?

John-jdtu

Hi Ahmed, thanks for sharing
My question is that you said scalar product bw kernel and input data(after encoding) the values of the kernel how do we get them. is it random as in class MLP.

abdulhameedalshemary

Why does character level embedding performs badly compared to word-level embedding using CNN for text classification?

souravbarik

Is there any alternative to one hot embedding of characters?

kumarshwetaketu

sir plz help i have project Depression detection using emotion artificial Intelligence with the help of deep learning

danishmuzafar

Hello ! very helpful video ! subscribed ! Instead of classification, I have a regression problem where the input is string. Can you guide ? I will just ping you the same in linked in. It will be great if you can help.

RiyaSadrani

hi ahmed, how to refactor files properly?

lordnaive

Introduction to character level CNN in text classification with PyTorch Implementation

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