Using TensorFlow and R
Keras: Model training • Feeding mini-batches of data to the model thousands of times • Feed 128 samples at a time to the model (batch_size = 128) • Traverse the input dataset 10 times (epochs = 10) • Hold out 20% of the data for validation (validation_split = 0.2) history % fit(x_train, y_train, batch_size = 128, epochs = 10, ................
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