Overview
In this 2-hour course, you will learn how to perform complex NLP tasks and build intelligent language applications using Deep Learning with PyTorch. Throughout the course, you will create real-world NLP applications such as a Sentiment Analyzer and an advanced Neural Translation Machine.
What I will be able to do after this course- Setup and utilize PyTorch for NLP tasks
- Perform data cleaning and preprocessing using NLTK and spaCy
- Implement word embeddings with gensim
- Build and train RNNs and LSTMs for sentiment analysis
- Develop neural machine translators using seq2seq architecture
Jibin Mathew is a senior data scientist with over 7 years in AI, a serial entrepreneur, and winner of Singularity University's Global Impact Challenge 2018. He has worked on AI solutions across multiple industries and actively contributes to the community through content and blogs.
Who is it for?This course is ideal for developers, researchers, or aspiring AI data scientists with basic machine learning knowledge and Python experience. It's designed for those ready to dive into NLP and deep learning with PyTorch.
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