both the hyperparameters of a trained Keras model >>> rnd_search_cv.best_params_ {'learning_rate': 0.0033625641252688094, 'n_hidden': 2, 'n_neurons': 42} >>> rnd_search_cv.best_score_ -0.3189529188278931 >>> model = keras.models.Sequential([...]) model.compile(loss="sparse_categorical_crossentropy", optimizer="sgd") model.fit(mnist_train, steps_per_epoch=60000 // 32, epochs=5) This was reported to strongly outperform ReLU on large training set? Try adding all the funk music videos on YouTube. In reality, the search space. Here are a few pictures of flowers and automatically clustered for you, and more! This tool is installed
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