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.
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課程信息
You should take the first 3 courses of the TensorFlow Specialization and be comfortable coding in Python and understanding high school-level math.
您將學到的內容有
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
您將獲得的技能
- Forecasting
- Machine Learning
- Tensorflow
- Time Series
- prediction
You should take the first 3 courses of the TensorFlow Specialization and be comfortable coding in Python and understanding high school-level math.
授課大綱 - 您將從這門課程中學到什麼
Sequences and Prediction
Deep Neural Networks for Time Series
Recurrent Neural Networks for Time Series
Real-world time series data
審閱
- 5 stars76.82%
- 4 stars16.58%
- 3 stars4.07%
- 2 stars1.23%
- 1 star1.27%
來自SEQUENCES, TIME SERIES AND PREDICTION的熱門評論
I'm so glad to take this course and build my knowledge regarding time-series data and modern approaches to create prognostic models. Thanks to Andrew Ng and L. Moroney to provide this course.
Good introduction to time series (or a recap). Much more applied than the previous courses. If considering only 1 of the courses in this specialization I would do the time series one!
Laurence Moroney is the best. Before taking up the course, i didnt know anything about the AI or ML or Tensorflow. The concepts were explained in such a manner that anyone can learn Tensorflow.
An exceptional course design to enable practicing with ready code and teaching what actually runs in LSTM / DNN models. With this momentum, anyone will continue on another course.
關於 DeepLearning.AI TensorFlow Developer 專業證書

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