August 2017
Intermediate to advanced
288 pages
8h 6m
English
Content preview from R Deep Learning Cookbook
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How to do it...
- Run an Adam optimizer with the objective of minimizing the cost for a given learning_rate:
optimizer = tf$train$AdamOptimizer(learning_rate=1e-4)$minimize(cost)
- Extract the number of correct_predictions and calculate the mean percentage accuracy:
correct_prediction = tf$equal(y_pred_cls, y_true_cls)accuracy = tf$reduce_mean(tf$cast(correct_prediction, tf$float32))