How does H2O compare to TensorFlow?

H2O and Tensorflow are not tackling the same problem. H2O is like scikit-learn on JVM that can be run on clusters (for example using Apache Spark as backend). It's primary goal is scalability. If you see its API, it's really similar to scikit's. read more

H2O and Tensorflow are not tackling the same problem. H2O is like scikit-learn on JVM that can be run on clusters (for example using Apache Spark as backend). It’s primary goal is scalability. read more

TensorFlow on AWS GPU instance In this tutorial, we show how to setup TensorFlow on AWS GPU instance and run H2O Tensorflow Deep learning demo. Pre-requisites: To get started, request an AWS EC2 instance with GPU support. read more

How does h2o implementation of deep learning differs from tensorflow or theano. This tutorial shows the tensorflow implementation in h2o. And what is the use of tensorflow in h2o, when h2o itself can find minimum for the NN's gradient descent problem. read more