*   Android: person detection + tracking demo implementing Scalable Object
    Detection using Deep Neural Networks.
*   New (experimental)
    [Java API](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/java).
*   Add new Android image stylization demo based on "A Learned Representation
    For Artistic Style", and add YOLO object detector support.

## Breaking Changes to the API

allowed by SP 800-135 Revision 1. package ssh import ( _ "crypto/internal/fips140/check" "hash" ) type Direction struct { ivTag []byte keyTag []byte macKeyTag []byte } var ServerKeys, ClientKeys Direction func init() { ServerKeys = Direction{[]byte{'B'}, []byte{'D'}, []byte{'F'}} ClientKeys = Direction{[]byte{'A'}, []byte{'C'}, []byte{'E'}} } func Keys[Hash hash.Hash](hash func() Hash, d Direction, K, H, sessionID []byte, ivKeyLen, keyLen, macKeyLen int, ) (ivKey, key, macKey []byte) { h := hash()...

Revision 1. package ssh import ( "crypto/internal/fips140" _ "crypto/internal/fips140/check" ) type Direction struct { ivTag []byte keyTag []byte macKeyTag []byte } var ServerKeys, ClientKeys Direction func init() { ServerKeys = Direction{[]byte{'B'}, []byte{'D'}, []byte{'F'}} ClientKeys = Direction{[]byte{'A'}, []byte{'C'}, []byte{'E'}} } func Keys[Hash fips140.Hash](hash func() Hash, d Direction, K, H, sessionID []byte, ivKeyLen, keyLen, macKeyLen int, ) (ivKey, key, macKey []byte) { h := hash()...