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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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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
💯 Read Full Blog with Code
💬 Leave your comments and doubts in the comment section
📌 Save this channel and video for watch later
👍 Like this video to show your support and love ❤️
✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐
ENROLL in My Highest Rated Udemy Courses
to 🔑 Unlock Data Science Interviews 🔎 and Tests
📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
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Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
~~~~~~~~
🆓 Watch My Top Free Data Science Videos
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👉🏻 Machine Learning for Beginners
👉🏻 Feature Selection in Machine Learning
👉🏻 Text Preprocessing and Mining for NLP
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👉🏻 Deep Learning with TensorFlow 2.0
👉🏻 COVID 19 Data Analysis and Visualization
👉🏻 Machine Learning Model Deployment Using
👉🏻 Make Your Own Automated Email Marketing
***********
🤝 BE MY FRIEND
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