Deep Learning with R Cookbook by Swarna Gupta

Author:Swarna Gupta [Swarna Gupta]
Language: eng
Format: epub
Tags: COM014000 - COMPUTERS / Computer Science, COM062000 - COMPUTERS / Data Modeling and Design, COM025000 - COMPUTERS / Expert Systems
Publisher: Packt
Published: 2020-02-21T08:33:54+00:00

We now compile and train the autoencoder:

# compile

autoencoder %>% compile(loss='mse', optimizer='adam')

# train the autoencoder

autoencoder %>% fit(x_train_gray,

x_train,

validation_data= list(x_test_gray, x_test),

epochs=20,

batch_size=batch_size)

We use the trained model to generate predictions for test data:

predicted <- autoencoder %>% predict(x_test_gray)

The following screenshot depicts how our autoencoder colorized the grayscale images:

In the next section, we will get down to the nitty-gritty of all of the steps we implemented.

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