import tensorflow as tf # Erstellen der Trainingsdaten inputMuster = [2, 16, 48] outputMuster= [4, 32, 96] # Aufbau des neuronalen Netzwerkes model = tf.keras.Sequential() model.add(tf.keras.layers.Dense(1, input_shape=[1])) model.compile(optimizer='sgd', loss='mean_squared_error') # trainieren des neuronalen Netzwerkes model.fit(inputMuster, outputMuster, epochs=20) # Testen des neuronalen Netzwerkes mit Testdaten testMuster = [22] print(model.predict(testMuster))
Standard input is empty
Epoch 1/20 3/3 [==============================] - 0s 42ms/sample - loss: 4465.2866 Epoch 2/20 3/3 [==============================] - 0s 330us/sample - loss: 1158117.6250 Epoch 3/20 3/3 [==============================] - 0s 281us/sample - loss: 300369600.0000 Epoch 4/20 3/3 [==============================] - 0s 267us/sample - loss: 77903937536.0000 Epoch 5/20 3/3 [==============================] - 0s 253us/sample - loss: 20205185007616.0000 Epoch 6/20 3/3 [==============================] - 0s 255us/sample - loss: 5240421131223040.0000 Epoch 7/20 3/3 [==============================] - 0s 244us/sample - loss: 1359156763189837824.0000 Epoch 8/20 3/3 [==============================] - 0s 249us/sample - loss: 352511273979961409536.0000 Epoch 9/20 3/3 [==============================] - 0s 250us/sample - loss: 91427395891263344476160.0000 Epoch 10/20 3/3 [==============================] - 0s 246us/sample - loss: 23712636953182021126979584.0000 Epoch 11/20 3/3 [==============================] - 0s 256us/sample - loss: 6150116139975867290903117824.0000 Epoch 12/20 3/3 [==============================] - 0s 243us/sample - loss: 1595095260910041949412272373760.0000 Epoch 13/20 3/3 [==============================] - 0s 239us/sample - loss: 413704318992440386626652620193792.0000 Epoch 14/20 3/3 [==============================] - 0s 242us/sample - loss: 107298452905060335326881592115200000.0000 Epoch 15/20 3/3 [==============================] - 0s 246us/sample - loss: 27828959268617160675890591880789884928.0000 Epoch 16/20 3/3 [==============================] - 0s 241us/sample - loss: inf Epoch 17/20 3/3 [==============================] - 0s 246us/sample - loss: inf Epoch 18/20 3/3 [==============================] - 0s 251us/sample - loss: inf Epoch 19/20 3/3 [==============================] - 0s 241us/sample - loss: inf Epoch 20/20 3/3 [==============================] - 0s 246us/sample - loss: inf [[-6.9295217e+25]]
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer. WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/python/keras/utils/losses_utils.py:170: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead. WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead.