Build Movie Review Classification with BERT and Tensorflow from Udemy

Overview

Hey there, it looks like you’re interested in an online course that teaches you how to build a movie review classifier engine using BERT and TensorFlow 2.4! This course will be perfect if you’re a beginner since it starts from the basics of movie review classification, learning word embeddings, and gradually moves to advanced concepts like BERT. The best part is you don’t need any prior knowledge in word embeddings or BERT, as everything will be covered from scratch.

The course is packed with over 10 lectures that will teach you to build a movie review classification engine based on open-source Python, TensorFlow 2.4, and Jupyter frameworks. On your journey, you’ll learn Word Embeddings, including Word2Vec, One hot encoding, Glove, and BERT. By the end of the course, you’ll have worked on downloading datasets, fine-tuning the model on the IMDB movie review dataset, evaluating the model, and testing it on real-world data. Jobs in the NLP field are in high demand, and having this skill set in your arsenal will undoubtedly give you a competitive edge. So, what are you waiting for? Let’s start building that movie review classification engine together!

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Skills you’ll learn

1. Understanding movie review classification
2. Mastering word embeddings from scratch
3. Gaining knowledge about BERT and its advantages
4. Leveraging pre-trained models for classification tasks
5. Evaluating model performance
6. Using Jupyter Notebook for programming
7. Testing models on real-world data
8. Developing a strong foundation in deep learning text classifiers

Summary

Dive into the fascinating world of movie review classification using the power of BERT and Tensorflow, all thanks to Evergreen Technologies! With 19 engaging lessons crafted by experts, over a hundred eager learners are already reaping the benefits of this well-rated course. Join them today and master this exciting skillset!