Description
Set up basic and advanced TensorFlow installations;Deep dive into training, validating, and monitoring training performance;Set up and run cross-sectional examples using images;Create pipelines to deal with real-world input data;Be empowered to go from concept to a production-ready machine learning setup/pipeline capable of real-world usage.
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