keras_repeatvector.ipynb

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      "Using TensorFlow backend.\n"
     ]
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   "source": [
    "import keras\n",
    "import numpy as np"
   ]
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    "n_repeat = 7"
   ]
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    "layer_dense = keras.layers.Dense(16, )"
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    "repeat_vector_layer = keras.layers.RepeatVector(n=n_repeat)"
   ]
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      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_3 (InputLayer)         (None, 3)                 0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 16)                64        \n",
      "_________________________________________________________________\n",
      "repeat_vector_3 (RepeatVecto (None, 7, 16)             0         \n",
      "=================================================================\n",
      "Total params: 64\n",
      "Trainable params: 64\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
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   "source": [
    "n_features = 3\n",
    "inputs = keras.layers.Input(shape=(n_features,))\n",
    "x = inputs\n",
    "x = layer_dense(x)\n",
    "outputs = repeat_vector_layer(x)\n",
    "model = keras.models.Model(inputs, outputs)\n",
    "model.summary()"
   ]
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    "n_sample = 10\n",
    "x_data = np.random.randn(n_sample, n_features)"
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    "y_data = model.predict(x_data)"
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