- learning_rate : hyperparameter. (related with Gradient Descent.)
- tf.keras.optimizers.Adagrad : adaptive learning rate optimizer that adjusts learning rate for each parameter.
- High variance > a smaller learning_rate
- Low varience > a larger learning_rate
- tf.keras.optimizers.Adagrad : adaptive learning rate optimizer that adjusts learning rate for each parameter.
- batch_size : the size of data processed at once.
- Too High : slower, took a lot of memory
- Too Low : Unstable training
- epochs : the number of times of dataset training
- Too High : overfitting
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