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Copy file name to clipboardExpand all lines: site/en/tutorials/keras/regression.ipynb
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"id": "PribnwDHUksC"
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"You can use an almost identical setup to make predictions based on multiple inputs. This model still does the same $y = mx+b$ except that $m$ is a matrix and $b$ is a vector.\n",
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"You can use an almost identical setup to make predictions based on multiple inputs. This model still does the same $y = mx+b$ except that $m$ is a matrix and $x$ is a vector.\n",
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"Create a two-step Keras Sequential model again with the first layer being `normalizer` (`tf.keras.layers.Normalization(axis=-1)`) you defined earlier and adapted to the whole dataset:"
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