*   Various performance improvements, especially for RNNs and convolutions
*   Many bugfixes
*   Nightly builds, tutorial tests, many test improvements
*   New examples: transfer learning and deepdream ipython notebook
*   Added tutorials, many documentation fixes.

## Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

Before quantization, `min` and `max` values are adjusted with the following
logic.
It is suggested to have `min <= 0 <= max`. If `0` is not in the range of values,
the behavior can be unexpected:

*   If `0 < min < max`: `min_adj = 0` and `max_adj = max - min`.
*   If `min < max < 0`: `min_adj = min - max` and `max_adj = 0`.
*   If `min <= 0 <= max`: `scale = (max - min) / (2^num_bits - 1) `,

      },
      "io.k8s.api.apps.v1.StatefulSet": {
        "description": "StatefulSet represents a set of pods with consistent identities. Identities are defined as:\n  - Network: A single stable DNS and hostname.\n  - Storage: As many VolumeClaims as requested.\n\nThe StatefulSet guarantees that a given network identity will always map to the same storage identity.",
        "properties": {
          "apiVersion": {

			}, {
				Type: core.LimitTypePersistentVolumeClaim,
				Max:  getStorageResourceList("10Gi"),
				Min:  getStorageResourceList("5Gi"),
			}},
		},
	}, {
		name: "pvc-min-only",
		spec: core.LimitRangeSpec{
			Limits: []core.LimitRangeItem{{
				Type: core.LimitTypePersistentVolumeClaim,
				Min:  getStorageResourceList("5Gi"),
			}},
		},
	}, {
		name: "pvc-max-only",