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Deep learning is an upcoming field, where we are seeing a lot of implementations in day-to-day business operations, including segmentation, clustering, forecasting, prediction or recommendation etc. Deep learning architecture has many branches and one of them is the deep neural network (DNN), the method that we are going to analyze in this deep learning project is about the role of Autoencoders in performing classification and optimizing the hyperparameters.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.