DeepLearning.AI-Natural-Language-Processing and Natural-Language-Processing-In-Tensorflow-Course

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Stars: 23
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Language: Jupyter Notebook
License: MIT
Stars: 42
Forks: 30
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
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About DeepLearning.AI-Natural-Language-Processing

arasgungore/DeepLearning.AI-Natural-Language-Processing

My solutions to the assignments in the NLP Specialization offered by DeepLearning.AI on Coursera.

This project contains completed assignments for an NLP course, demonstrating how to build systems that understand and process human language. It takes raw text or speech data and outputs insights like sentiment, translations, summaries, or interactive chatbot responses. The primary user for this content is someone learning natural language processing, such as an aspiring data scientist, machine learning engineer, or AI researcher.

natural-language-processing text-analysis machine-translation sentiment-analysis chatbot-development

About Natural-Language-Processing-In-Tensorflow-Course

07Agarg/Natural-Language-Processing-In-Tensorflow-Course

My Solutions To Natural Language Processing Course in Tensorflow on Coursera(by Laurence Moroney)

This project helps students and aspiring machine learning practitioners learn how to build natural language processing (NLP) models using TensorFlow. It provides practical exercises that take text datasets, such as news articles or poems, and guide you through the process of developing models to understand or generate text. This is for anyone looking to gain hands-on experience in NLP with TensorFlow.

Machine-Learning-Education Natural-Language-Processing TensorFlow-Learning Text-Analysis Deep-Learning-Practice

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