Generative AI

Sequences, Time Series and Prediction

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Coursera

With an emphasis on time series prediction using RNNs and ConvNets, this course educates software developers on how to create scalable AI models using TensorFlow.

Key AI Functions:

prediction,tensorflow,forecasting,time series,machine learning,generative ai

Description for Sequences, Time Series and Prediction

  • TensorFlow Best Practices: Instructs on fundamental methodologies for utilizing TensorFlow, an open-source machine learning framework, to develop scalable models.

  • Time Series Modeling: Concentrates on constructing time series models, encompassing data preparation methodologies and employing RNNs and 1D ConvNets for forecasting.

  • Practical Application: Utilizes acquired skills on real-world data, exemplified by the construction of a sunspot prediction model.

  • Fundamental Knowledge: Expands upon concepts from Andrew Ng's Machine Learning course and the Deep Learning Specialization, offering an enhanced comprehension of neural networks and model execution using TensorFlow.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by DeepLearning.AI

 

Duration:21 hours (approximately)

Schedule: Flexible

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