Learn Recurrent Neural Networks Hands-On

In the real world, data often comes in sequences: text, speech, time-series data, and more. RNNs are the key to understanding and working with these sequential data types. By taking this course, you’ll gain the essential knowledge and skills to handle and model sequences effectively. You will discover how RNNs revolutionize natural language processing, time series analysis, and more.

This course is captivating for anyone interested in artificial intelligence, data science, or machine learning. If you’ve ever been fascinated by machines that can understand and generate human language, RNNs are at the core of these language models. This course will empower you to work on NLP tasks like sentiment analysis, chatbots, and machine translation. Time series data is everywhere, from financial markets to climate patterns. RNNs excel at modeling and forecasting time-dependent data. By taking this course, you’ll be equipped to tackle real-world problems in fields like finance or weather forecasting and much more

Enroll and don’t miss the chance to be at the forefront of AI innovation.

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Course Syllabus
Topics that will be cover in the course
Types of Sequential Data
Recurrent Neural Networks
Long Short-Term Memory
Word Embeddings

Recommended Skills Prior to Taking this Course
A good understanding of Keras, Linear Regression and Classification and Neural Networks Principles in addition to Python programming language.