Seamlessly scale your AI models to big data clusters with thousands of nodes for distributed training or inference. Built on top of the open source frameworks of Apache Spark*, TensorFlow*, PyTorch*, OpenVINO™, and Ray, this unified analytics and AI platform has an extensible architecture to support more libraries and frameworks.
Gain insight into the capabilities and features of this unified platform that includes a high-level API, native integration with the Apache Spark machine learning pipeline, built-in deep learning models, and more.
Using the Keras-style API in Analytics Zoo, apply the data set from a car with attributes like horse power and weight to predict MPG (miles per gallon). See how to select features, build the model, train the model, and measure the accuracy.
Using a loan dataset and the Keras-style API, predict loan risk based on attributes like credit score and employment. Learn how to select features, build the model, train the model, and measure accuracy.
Analytics Zoo features TensorFlow*, which allows you to train and deploy TensorFlow and Keras models on Apache Spark* clusters. Learn how to take a standard set of Keras layers from TensorFlow and distribute the training of those layers on Apache Spark using Analytics Zoo.