L15.7 An RNN Sentiment Classifier in PyTorch

Показать описание

-------

This video is part of my Introduction of Deep Learning course.

-------

Рекомендации по теме

Комментарии

Great presentation. Have spent a couple weeks now, every night, doing your videos and hands on notebooks! And I feel I made a lot more progress than with other, less coding-oriented classes.

Suggestion: define TEXT_COLUMN_NAME, LABEL_COLUMN_NAME as local variables, in all caps, and reference them as variable names everywhere.

bitdribble

Hello Prof. Raschka. What an amazing hands on tutorial on RNN!
I have seen one issue. At 37:26, "packed", the return value of "pack_padded_sequence", is not passed to the next layer "self.rnn".
But still this version is much better than the first one. As far as I've experimented, the reason is that when you enable sorting within batch, the sequence lengths in batches are very similar. This way RNN learns much better instead of learning dummy paddings.

kafaayari

nn.lstm handles itself, previous output is input to next in the network?

abubakarali

for text preprocessing you could have used a library like neattext.

Rahulsircar

Hello Sebastian. Love your books, just keep it up that way. As I said many times your book along with Aurelion Geron one are the best books on subject. I have read second and thrid edition and I always keep it in a desk, although I ve read it page to page... P. S. Convolution types pictures, same and valid when you explain them in a book, are replaced its unsignificant detail but cause it is repeated in second and third edition I thought just to let you know. Best regards

milanradovanovic

This is really awesome stuff 🙂 Do you also have videos on transformer/BERT architecture? and the codes related to that?

madhuful

Thanks so much for this, I have been looking for examples of RNNs in pytorch, this is very clear. Has anybody figured out how to use the new torchtext API? They removed legacy and the provided migration guide is also broken, it's been a challenge to figure out how to get this to run with the current API.

donatocapitella

Great video! Does the <unk> in the vocabulary indicate words that are not in our vocabulary? So in case our LSTM encounters an unknown word, it will be regarded as <unk> ?

randb

If I am not wrong is this a single unit LSTM unit used in the model?

akashghosh

AttributeError: module 'torchtext' has no attribute 'legacy'

debabratasikder

L15.7 An RNN Sentiment Classifier in PyTorch

L15.7 An RNN Sentiment Classifier in PyTorch

L-7 Sentiment Analysis using RNN on Custom Dataset

How to Use RNNs for Sentiment Analysis (Coding RNNs in Python)

L15.6 RNNs for Classification: A Many-to-One Word RNN

Lecture 11 (Part 2) : Sentiment Analysis using LSTM RNN on Google Colab in Python

96 Activity Using a RNN for sentiment analysis

Sentiment Analysis with LSTM | Deep Learning with Keras | Neural Networks | Project#8

Sentiment Analysis using RNN-GRU model

Simple RNN model to predict review score using Steam review texts #rnn

How to setup a GRU RNN model for imdb sentiment analysis in Keras

Twitter Sentiment Analysis Tutorial in Python w/ GloVe Word Embedding Vectors & LSTM Neural Netw...

PyTorch RNN Tutorial - Name Classification Using A Recurrent Neural Net

96 IMDB Review Classification with RNN LSTM Step 3

12. RNN. Recurrent Neural Network in PyTorch.

RNN ile IMDB Sentiment Analysis

Sentiment Analysis and Classification using IMDB Dataset and LSTM

Sentiment Analysis using RNN and LSTM

IMDB Sentiment Analysis Using SimpleRNN Layer From Tensorflow | Working With Sequential Data (Text)

R & Python - Sentiment Analysis Part 1 (2022)

Hands-On Natural Language Processing with PyTorch:Work with Recurrent Neural Network| packtpub.com

Recurrent neural network example using surnames dataset | part 1 | Pytorch tutorial

Recurrent Neural Networks (RNNs) Use cases sentiment analyisis language translator and Chabots

Sentiment Analysis with Neural Networks Pytorch - Part 1

2021/04/21 RNN in Python