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rate from 0.001 to 0.01 for faster learning metrics=['accuracy']) # Fit the model history = model_8.fit(X_train, y_train, epochs=100) Epoch 1/100 25/25 [==============================] - 2s 5ms/step - loss: 0.6845 - accuracy: 0.5362 Epoch 2/100 25/25 [==============================] - 0s 8ms/step -