CUDNN missing

o.d.e.m.v.v.FitFromFeaturized - 

Loading org.deeplearning4j.transferlearning.vgg16...


o.d.z.ZooModel - Using cached model at C:\Users\kos\.deeplearning4j\vgg16_dl4j_inference.zip
o.d.z.ZooModel - Verifying download...
o.d.z.ZooModel - Checksum local is 3501732770, expecting 3501732770
o.n.l.f.Nd4jBackend - Loaded [JCublasBackend] backend
o.n.n.NativeOpsHolder - Number of threads used for NativeOps: 32
o.n.n.Nd4jBlas - Number of threads used for BLAS: 0
o.n.l.a.o.e.DefaultOpExecutioner - Backend used: [CUDA]; OS: [Windows 10]
o.n.l.a.o.e.DefaultOpExecutioner - Cores: [8]; Memory: [7.1GB];
o.n.l.a.o.e.DefaultOpExecutioner - Blas vendor: [CUBLAS]
o.n.l.j.o.e.CudaExecutioner - Device opName: [GeForce GTX 1080]; CC: [6.1]; Total/free memory: [8589934592]
o.d.n.g.ComputationGraph - Starting ComputationGraph with WorkspaceModes set to [training: NONE; inference: SINGLE]
o.d.n.l.c.ConvolutionLayer - cuDNN not found: use cuDNN for better GPU performance by including the deeplearning4j-cuda module. For more information, please refer to: https://deeplearning4j.org/cudnn
java.lang.ClassNotFoundException: org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper
	at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
	at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
	at java.lang.Class.forName0(Native Method)