udsm ai
  • Welcome to UDSM Ai
  • About the club
  • Events
    • Exploring natural language processing
    • Building Blocks with numpy
    • Introduction to machine learning
  • 📚Resources
    • Intro to Ai
      • 🖊️Introduction to AI (General summary)
      • 🖊️Views of AI
        • AI agents
        • Agents in different types of applications
      • 🖊️Knowledge representation in AI
        • Knowledge Representation
        • Formal Systems
        • Propositional Logic
        • Predicate Logic
          • Syntax
          • Semantics
      • 🖊️Approaches to Handle Uncertainty
    • Machine Learning
      • Introduction to Machine Learning
      • Fundamentals of Python Programming
      • Exploratory Data Analysis (EDA)
      • Supervised Learning Algorithms
        • Linear Regression
        • Logistic regression
  • 👷Hands On
    • Natural Language Processing
      • 📢Voice
      • 📒Text
        • Text classification from scratch
          • Dataset Preparation
          • Text Representation
          • Tokenization
          • Model Definition
          • Training
          • Evaluation
          • Inference
          • Fine-tuning and Optimization
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  1. Hands On
  2. Natural Language Processing

Text

In this section, we'll leverage TensorFlow to delve into text and natural language processing (NLP) techniques, Credits to https://www.tensorflow.org/text/tutorials

In this section, we'll leverage TensorFlow to delve into text and natural language processing (NLP) techniques. TensorFlow offers two powerful solutions tailored for these tasks: KerasNLP and TensorFlow Text. Below is the list of topics we'll be covering in our GitBook tutorials on text NLP using TensorFlow:

  • Text Classification:

    • Text classification from scratch

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Last updated 1 year ago

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