title: Regulizer in Conv2D keras
body: <p>I see that people use regulizers in Dense layer but there is a kernel_regulizer argument in Conv2d in keras documentation: </p>
  
  <p><a href="https://keras.io/layers/convolutional/" rel="nofollow noreferrer">https://keras.io/layers/convolutional/</a> </p>
  
  <p>When I add the regulizers as follows: </p>
  
  <pre><code>conv1 = Conv2D(32, (3, 15), strides=(1, 2), padding='same', data_format='channels_first', kernel_regularizer=regularizers.l2(), input_shape=x_train_n.shape[1:])(g0)
  </code></pre>
  
  <p>I get this error: </p>
  
  <pre><code>NameError: name 'regularizers' is not defined
  </code></pre>
  
  <p>I already imported: </p>
  
  <pre><code>import tensorflow as tf
  from tensorflow.python.keras.models import Model
  from tensorflow.python.keras.layers import Input, Activation, Conv2D, MaxPooling2D, BatchNormalization, UpSampling2D, Lambda, \
  Conv2DTranspose, Permute, GaussianNoise, advanced_activations, Add, LeakyReLU, Dropout, ActivityRegularization
  from tensorflow.python.keras import regularizers
  
  import numpy as np
  import matplotlib.pyplot as plt
  import matplotlib.figure as fgr
  from tensorflow.python.keras import backend
  from tensorflow.python.keras.utils import plot_model, normalize
  from tensorflow.python.keras.callbacks import EarlyStopping
  </code></pre>
  
  <p>How can I call regulizers in Conv2D? are there any conflicts in imports? </p>