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Sequences, Time Series and Prediction
Coursera
Course
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Sequences, Time Series and Prediction

DeepLearning.AI

Learn to build scalable time series prediction models with TensorFlow, including data preparation and using RNNs and ConvNets for forecasting.

Unknown4 weeksEnglish

About this Course

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. 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. Finall

What You'll Learn

  • Solve time series and forecasting problems in TensorFlow
  • Prepare data effectively for time series learning
  • Explore use of RNNs and ConvNets for predictions
  • Build a sunspot prediction model with real-world data

Instructors

L

Laurence Moroney

Topics

Deep Learning
Artificial Neural Networks
Tensorflow
Time Series Analysis and Forecasting
Applied Machine Learning
Predictive Modeling
Forecasting
Machine Learning
Convolutional Neural Networks
Data Preprocessing

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

التعلم العميق
الشبكات العصبية الاصطناعية
TensorFlow
تحليل السلاسل الزمنية والتنبؤ
تعلم الآلة التطبيقي
النمذجة التنبؤية
التنبؤ
تعلم الآلة
Convolutional Neural Networks
Data Preprocessing

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