Sequences, Time Series and Prediction
Master time series forecasting with TensorFlow, from basic predictions to advanced neural networks for real-world data.
Master time series forecasting with TensorFlow, from basic predictions to advanced neural networks for real-world data.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full DeepLearning.AI TensorFlow Developer Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
(5,049 ratings)
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English
پښتو, বাংলা, اردو, 4 more
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What you'll learn
Build and implement time series prediction models using TensorFlow
Master data preparation techniques for time series analysis
Develop expertise in RNN and ConvNet implementation
Create accurate forecasting models using real-world data
Optimize time series predictions using deep learning
Implement practical solutions for sequential data analysis
Skills you'll gain
This course includes:
1.5 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course focuses on time series analysis and prediction using TensorFlow. Students learn to prepare time series data, implement various neural network architectures including RNNs and ConvNets, and apply these techniques to real-world problems. The curriculum covers essential concepts from basic forecasting to advanced deep learning approaches, culminating in a practical sunspot prediction project using historical data. Through hands-on programming assignments, learners develop skills in building scalable AI-powered algorithms for time series prediction.
Sequences and Prediction
Module 1 · 5 Hours to complete
Deep Neural Networks for Time Series
Module 2 · 5 Hours to complete
Recurrent Neural Networks for Time Series
Module 3 · 5 Hours to complete
Real-world time series data
Module 4 · 5 Hours to complete
Fee Structure
Instructor
Pioneering AI Educator and Best-Selling Author
Laurence Moroney is an award-winning artificial intelligence researcher and best-selling author dedicated to making AI and machine learning accessible to everyone. As an instructor at DeepLearning.AI, he has taught millions through MOOCs and YouTube, while also serving as a keynote speaker at various events. Moroney is a fellow of the AI Fund and advises several AI startups, leveraging his expertise to foster innovation in the field. Based in Seattle, Washington, he is also an active member of the Science Fiction Writers of America, having authored multiple sci-fi novels and comic books. When not immersed in technology, he enjoys indulging in coffee and exploring creative writing.
Testimonials
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4.7 course rating
5,049 ratings
Frequently asked questions
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