title: How to get the output of a keras model as numerical values, rather than a Tensor object?
body: <p>This is probably quite a basic tensorflow/keras question but it is I can't seem to find it in the <a href="https://keras.io/layers/about-keras-layers/#about-keras-layers" rel="nofollow noreferrer">docs</a>. I'm looking to retrieve the output of the hidden layer as numerical values for use in subsequent calculations. Here's the model</p>
  
  <pre><code>from io import StringIO
  import pandas as pd
  import numpy as np
  import keras
  
  data_str = """     
  ti,z1,z2
  0.0,1.000,0.000
  0.1,0.606,0.373
  0.2,0.368,0.564
  0.3,0.223,0.647
  0.4,0.135,0.669
  0.5,0.082,0.656
  0.6,0.050,0.624
  0.7,0.030,0.583
  0.8,0.018,0.539
  0.9,0.011,0.494
  1.0,0.007,0.451"""
  data = pd.read_csv(StringIO(data_str), sep=',')
  
  wd = r'/path/to/working/directory'
  model_filename = os.path.join(wd, 'example1_with_keras.h5')
  
  RUN = True
  if RUN:
      model = keras.Sequential()
      model.add(keras.layers.Dense(3, activation='tanh', input_shape=(1, )))
      model.add(keras.layers.Dense(2, activation='tanh'))
      model.compile(optimizer='adam', loss='mean_squared_error')
      model.fit(data['ti'].values, data[['z1', 'z2']].values, epochs=30000)
      model.save(filepath=model_filename)
  else:
      model = keras.models.load_model(model_filename)
  
  outputs = model.layers[1].output
  print(outputs)
  </code></pre>
  
  <p>This prints the following:</p>
  
  <pre><code>&gt;&gt;&gt; Tensor("dense_2/Tanh:0", shape=(?, 2), dtype=float32)
  </code></pre>
  
  <p>How can I get the output as a <code>np.array</code> rather than a <code>Tensor</code> object?  </p>