April 2020
Intermediate to advanced
330 pages
7h 44m
English
Content preview from Hands-On Deep Learning with R
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Exploring H2O
H2O has been around longer than Keras and MXNet and is still used widely. It makes use of Java and MapReduce in-memory compression to handle big datasets. H2O is used for many machine learning tasks and also supports deep learning. In particular, H2O provides native support for feedforward artificial neural networks (multilayer perceptrons). H2O performs automatic data preparation and missing value handling. Loading data requires the use of a special data type: H2OFrame.
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