H2o – Deep learning model

Hi guys, I am facing an issue trying to run a neural network model. I’m using the H2o package in this case. (BTW, I’m totally new to deep learning and so my questions might be trivial). So, I ran this model first: h2o.deeplearning(x = 3:5498, # column numbers for predictors y = 1, # column number for label training_frame = train_h2o, # data in H2O format activation = “RectifierWithDropout”, # algorithm input_dropout_ratio = 0.2, # % of inputs dropout hidden_dropout_ratios = c(0.5,0.5), # % for nodes dropout distribution = “multinomial”, balance_classes = TRUE, hidden = c(100,100), # two layers of 100 nodes momentum_stable = 0.99, sparse = TRUE, variable_importances = TRUE, nfolds = 5, nesterov_accelerated_gradient = TRUE, # use it for speed epochs = 200) # no. of epochs It…

Link to Full Article: H2o – Deep learning model

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!