Understanding the complex world of natural language processing can be a challenging but essential task in this rapidly growing industry. In this course, Mastering Natural Language Processing (NLP) with Deep Learning, you’ll gain the ability to analyze text data using advanced deep learning techniques. First, you’ll explore the essentials of NLP, including the unique challenges of text data and how to preprocess it effectively for various NLP tasks. Next, you’ll discover the concept of neural networks and their applications in NLP, learning about sequence models and recurrent neural networks (RNNs). Finally, you’ll learn how to implement and fine-tune transformers such as BERT and GPT for real-world NLP applications. When you’re finished with this course, you’ll have the skills and knowledge of NLP with deep learning needed to solve complex language processing tasks and build innovative AI solutions.
Author Name: Alper Tellioglu
Author Description:
I am a developer, and passionate about technology in all kind. That’s why I worked on several development areas in the past, and still exploring other technologies and frameworks that catch my interest. Besides engineering, I am interested in design and art. I like building things with small and dynamic teams. Working in startup environment keeps me motivated!

Table of Contents

• Course Overview
  1min
• Natural Language Processing (NLP) Essentials: Exploring Text Data
  20mins
• NLP Architectures, Sequence Models, and Transformers
  20mins