Udemy

Deep learning: A Natural Language Processing Bootcamp

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  • 3,962 名學生
  • 更新於 1/2022
4.1
(17 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
1 小時 16 分鐘
教學語言
英語
授課導師
Aditya Shankarnarayan
評分
4.1
(17 個評分)
3次瀏覽

課程簡介

Deep learning: A Natural Language Processing Bootcamp

Learn NLP the RIGHT WAY!

Master Natural Language Processing with TensorFlow – From Basics to Building Real Projects

Unlock the power of Natural Language Processing (NLP) using TensorFlow in this hands-on, beginner-friendly course. Whether you're just curious about NLP or looking to build real-world applications, this course is designed to guide you step-by-step through both theory and implementation.


What You’ll Learn:

  • Tokenization – Break down text into meaningful components (Part 1)

  • Word Embeddings – Learn how to represent words as vectors (Part 2)

This course emphasizes hands-on learning. You’ll implement every concept as you go—because real understanding comes from building, not just watching.

And for those who love the "why" behind the "how", we dive deep into the theory too. You'll explore state-of-the-art NLP techniques, including tokenization, embeddings, RNNs, and more—with clear explanations and practical examples.


Who This Course Is For:

  • Curious learners ready to explore NLP

  • Aspiring developers who want to build text-based applications

  • Anyone eager to understand and implement NLP with TensorFlow

Prerequisites:

  • Basic arithmetic skills

  • A solid foundation in Python programming

  • Familiarity with basic TensorFlow operations

“If you can’t implement it, you don’t understand it.”


Join me in this exciting journey through NLP, where you’ll not only learn the concepts but also create real-world solutions with them.

課程章節

  • 2 個章節
  • 25 堂課
  • 第 1 章 Part 1
  • 第 2 章 Part 2

課程內容

  • Natural Language Processing
  • Deep Learning
  • Machine Learning
  • Sentiment Analysis
  • Tensorflow
  • Neural Networks

評價

  • P
    PUDARI SHRAINYA GOUD .
    5.0

    good course

  • S
    Shivam Birmole
    4.5

    very good course , will definitely share with friends , learnt a lot

  • K
    Kirit Kundu
    3.5

    Wish the code shown in the video would be put in the notes section so that I can copy and paste and follow along / experiment. Otherwise, the explanations in the video are good!

  • B
    Biranchi Narayan Nayak
    1.5

    Part 1 is very good. Part 2 the volume is very low and could hardly hear anything. Guys please don't buy this course now, please buy this course once the new videos with good quality audio is uploaded.

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