TensorFlow 2.0 Tutorial for Beginners 17 - IMDB Review Classification using RNN - LSTM

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In this video we will learn about IMDB review classification using RNN-LSTM. Neural Networks are a set of algorithms which closely resembles the human brain and are designed to recognize patterns. Recurrent Neural Network is a generalization of a feedforward neural network that has an internal memory. RNN is recurrent in nature as it performs the same function for every input of data while the output of the current input depends on the past one computation. After producing the output, it is copied and sent back into the recurrent network. For making a decision, it considers the current input and the output that it has learned from the previous input. In other neural networks, all the inputs are independent of each other. But in RNN, all the inputs are related to each other.

The IMDB dataset contains 50,000 movie reviews for natural language processing or Text analytics. It has two columns-review and sentiment. The review contains the actual review and the sentiment tells us whether the review is positive or negative

🔊 Watch till last for a detailed description
03:13 Understanding the dataset
04:56 Dataset pre-processing
10:49 Building LSTM network
19:29 Plotting the learning curve

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Thank you for this video, I came from Udemy... I would like to know how to implement RNNs and LSTM on multilabel models. I'm working with NLP, I saw the multilabel with CNN in images but I would like to see one explained for text data before jumping to advanced videos.

lupitariveratorruco
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In your understanding what does input_shape = (X_train.shape[1], ) do ? Does it set up X_train.shape[1] neurons in the 1st input layer ?

justfun
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what if I have 3 classes: positive, negative, and neutral?

reemal-saleh
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If I already vectorized the text data into a 300 dim vector (Word2Vec Google 300), do I still need the embedding layer?

fattiger
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Bro please make a full video from preprocessing data to hypertuning our rnn-lstm model

tanaygupta
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Thank you ... Can you do a document classification(long text) video using BERT .

justfun
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Sir can you please help me with ( How to add multiple LSTM layers for a classification task )...Just give me a code snippet and it would be very helpful Thank you

hardikvegad
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Bro, do videos on churn prediction ml

jyothiponduru
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As a beginner can you guide me where can i start so i can understand the teaching more accurately?

secondactin
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