iate the Wide Residual Network architecture,
optionally loading weights pre-trained
on CIFAR-10. Note that when using TensorFlow,
for best performance you should set
<cite>image_dim_ordering=&quot;tf&quot;</cite> in your Keras config
at ~/.keras/keras.json.
The model and the weights are compatible with both
TensorFlow and Theano. The dimension ordering
convention used by the model is the one
specified in your Keras config file.
# Arguments</p>
<blockquote>
<div><p>depth: number or layers in the DenseNet
wid