Notes for install Keras on Anaconda3train_labels <- mnist$train$y test_images <- mnist$test$x test_labels <- mnist$test$y #data structure checking str(train_images) str(train_labels) str(test_images) str(test_labels) # reshape train_images<-train_images / 255 test_images <- test_images / 255 train_labels <- to_categorical(train_labels, 10) test_labels <- to_categorical(test_labels, 10) # defining the model and layers model <- k optimizer_rmsprop(), metrics = c('accuracy') ) # train (fit) model %>% fit( train_images, train_labels, epochs = 30, batch_size = 128, ) D) The expected results are as follows:0 码力 | 3 页 | 654.13 KB | 8 月前3
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