nur-ag/neural-networks-for-nlp-course

A Keras-based course to go from 0 to 1 using Neural Networks for NLP, focused on programming and practice!

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Experimental

This course helps software engineers learn to build neural networks for natural language processing tasks. It takes you from basic algebraic concepts to advanced architectures, teaching you how to implement, train, and evaluate these models. The output is a working understanding and practical skills in applying neural networks to classify text, such as identifying sentiment in reviews or categorizing documents.

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Use this if you are a software engineer who wants a practical, code-focused introduction to building neural networks for natural language processing.

Not ideal if you are looking for an in-depth theoretical understanding of neural network optimization, gradient descent, or advanced mathematical underpinnings.

text-classification sentiment-analysis natural-language-processing machine-learning-engineering deep-learning-applications
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 8 / 25

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Language

Jupyter Notebook

License

MIT

Last pushed

Mar 24, 2023

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