Course · Intermediate
Natural Language Processing for Deep Learning
In this course, you'll learn the fundamentals of Natural Language Processing (NLP), a rapidly growing field of Artificial Intelligence that enables computers to understand, interpret, and generate human language. You'll be using TensorFlow, the machine learning framework developed by Google.
- Intermediate friendly
- 5 hrs
- 5 lessons
- 1 project
- Premium
Course overview
Process and model text data by applying NLP techniques such as tokenization, embeddings, sequence models, and transformers to build deep learning solutions.
What's inside
5 lessons · 1 project
- 01 73 minIntroduction to Natural Language Processing
<p>Use the TensorFlow Datasets (TFDS) library to load text data, and extract features from it to create a customized WordCloud visualization.</p>
- 02 120 minText Vectorizer and Word Embeddings
<p>Master text transformation with TensorFlow's TextVectorization, explore parameter variation, perform word embedding, and build, train, and evaluate text classification models.</p>
- 03 120 minBuilding Multi-layer (dense) Text Classification Models with TensorFlow
<p>Learn how to configure and train a multilayer text classification model. You'll use different model architectures and compare their performance.</p>
- 04 120 minBuilding Sequence Models with TensorFlow
<p>Learn to configure and train sequence models like single and multilayer LSTMs for text classification tasks. </p>
- 05 120 minBuilding Text Models with Transformers
<p><span style="color: rgb(34,34,34);background-color: rgb(255,255,255);font-size: small;font-family: Arial, Helvetica, sans-serif;">Learn how to configure, build, and evaluate text classification models using Transformers.</span> </p>
- 06 120 minGuided Project: Classifying Disaster-Related Tweets as Real or Fake Project
For this project, you'll be a data scientist at a news company building a deep learning model to predict if tweets are about real disasters or not. Using a Kaggle dataset, you'll apply Python, TensorFlow, and NLP to gain in-demand skills.
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