pan>, strides=<span class="hljs-number">2</span>)
    x = ReLU()(x)
    x = conv_bn(x, filters=<span class="hljs-number">64</span>, kernel_size=<span class="hljs-number">3</span>)
    tensor = ReLU()(x)
  
    x = sep_bn(tensor, filters=<span class="hljs-number">128</span>, kernel_size=<span class="hljs-number">3</span>)
    x = ReLU()(x)
    x = sep_bn(x, filters=<span class="hljs-number">128</span>, kernel_size=<span class="hljs-number">3</span>)
    x = MaxPool2D(pool_size=<span class="hljs-number">3</sp