TensorFlow

tensorflow.ipynb

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      "Step #100, epoch #25, avg. train loss: 0.65958\n",
      "Step #200, epoch #50, avg. train loss: 0.61890\n",
      "Step #300, epoch #75, avg. train loss: 0.60432\n",
      "Step #400, epoch #100, avg. train loss: 0.57985\n",
      "Step #500, epoch #125, avg. train loss: 0.55417\n",
      "Step #600, epoch #150, avg. train loss: 0.52275\n",
      "Step #700, epoch #175, avg. train loss: 0.50493\n",
      "Step #800, epoch #200, avg. train loss: 0.48512\n",
      "Step #900, epoch #225, avg. train loss: 0.47301\n",
      "Step #1000, epoch #250, avg. train loss: 0.46723\n"
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   "source": [
    "tf_clf_dnn = skflow.TensorFlowDNNClassifier(hidden_units=[20, 40, 20], n_classes=2, batch_size=256, steps=1000, learning_rate=0.05)\n",
    "tf_clf_dnn.fit(X_train, y_train)\n",
    "tf_clf_dnn.score(X_test, y_test)"
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