Scaling Deep Learning with TensorFlow and Apache Spark

This course offers a thorough overview of how to scale training and deployment of neural networks with Apache Spark. We guide students through building deep learning models with TensorFlow, perform distributed inference with Spark UDFs via MLflow, and train a distributed model across a cluster using Horovod. This course is taught entirely in Python.


 
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