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- Data
Building Machine Learning Solutions with TensorFlow 2.0
5 Courses
15 Hours
Skill IQ
Google released TensorFlow 2.0 in October 2019 which uses the dynamic graph and is more Python friendly. There are multiple changes to ensure removal of redundant APIs and better integration with Python runtime and Eager Execution.
Content in this path
Beginner
Learn everything you need to know to get started with Tensorflow 2.0.
Intermediate
Step up your TensorFlow understanding by learning how to design data pipelines and implement hyperparameter tuning for Tensorflow 2.0.
Advanced
Learn how to build a machine learning workflow with Keras and work with time series data to generate high performing forecasts and predictions.
Supplemental Learning
Enhance the knowledge you learned previously by watching these supplemental courses.
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What You'll Learn
- Design and implementation of machine learning solutions using TensorFlow 2.0
- Designing optimal Data pipelines
- Applying Tensorflow to more advanced problems spaces, such as image recognition, language modeling, and predictive analytics
Prerequisites
- Machine Learning Literacy
- Python Programming
Related topics
- Tensorflow
- Feature Engineering
- PyTorch
- Python Programming
- Machine Learning Literacy
- Deep Learning
- Statistics
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