Ementorhub

What you'll learn

Solve time series and forecasting problems in TensorFlow

Prepare data for time series learning using best practices

Explore how RNNs and ConvNets can be used for predictions

Build a sunspot prediction model using real-world data

Skills you'll gain

Deep Learning

Applied Machine Learning

Time Series Analysis and Forecasting

Data Processing

Forecasting

Tensorflow

Predictive Modeling

Artificial Neural Networks

There are 4 modules in this course

In this fourth course, you will learn how to build time series models in TensorFlow. You’ll first implement best practices to prepare time series data. You’ll also explore how RNNs and 1D ConvNets can be used for prediction. Finally, you’ll apply everything you’ve learned throughout the Specialization to build a sunspot prediction model using real-world data! The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new DeepLearning.AI TensorFlow Developer Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

Deep Neural Networks for Time Series

Recurrent Neural Networks for Time Series

Real-world time series data