Dear users, due to the protests and the disorderly situation in Iran, there is a possibility of Internet interruption in Iran. We apologize in advance if there is a problem in updating the site. MahsaAmini WomanLifeFreedom

Download Introduction to Transformer for NLP with Python

Download Introduction to Transformer for NLP with Python

What you would learn in Introduction to Transformer for NLP with Python course?

Are you interested in studying the area that is Natural Language Processing (NLP)? Then this course is designed for you!

This course was created by an engineer who is a software engineer. I'm hoping that, with the expertise and experience I accumulated over my career, I can impart my knowledge and help you understand complicated concepts algorithmic, programming, and libraries in a straightforward manner.

I will take you to step by step through the transformer, an extremely efficient device to use in Natural Language Processing. Each time you watch a tutorial, you'll learn new skills and enhance your knowledge of transformers used that are used in Natural Language Processing.

This course is both fun and exciting; however, at the same time, we will dive into the world of transformers. In the new version of the course, we'll cover an array of different tools and technologies, such as:

  • Deep Learning.

  • Google Colab

  • Keras.

  • Matplotlib.

  • Splitting data into Test Set and Training Set.

  • Training Neural Network.

  • Model building.

  • Analyzing Results.

  • Model compilation.

  • Make a prediction.

  • Accuracy of Testing.

  • Confusion Matrix.

  • Numpy.

  • Pandas.

  • Tensorflow.

  • Chunking

  • Bag of Words

  • Hugging Face transformer

  • POS tagging

  • TF-IDF

  • GPT-2

  • Token Classification

  • BERT

  • Stemming

  • Lemmatization

  • NER

  • Preprocessing data.

  • Attention!

  • Fine-tuning

Additionally, this course is filled with exercises built on real-world examples. Therefore, you won't just be taught the basics and concepts, but you'll also be able to practice making the models of your choice. There are a variety of projects available for you to try out and increase your knowledge. The projects listed below:

  • Gender Identification.

  • Sentiment Analyzer.

  • Topic Modelling

  • IMDB Project.

  • QA project.

  • Text generation project.

Course Content:

  • Chunking
  • Bag of Words
  • Hugging Face transformer
  • POS tagging
  • TF-IDF
  • GPT-2
  • Token Classification
  • BERT
  • Stemming
  • Lemmatization
  • NER
  • Preprocessing data
  • Attention!
  • Fine-tuning

Download Introduction to Transformer for NLP with Python from below links NOW!

Similar cases