URL fixes

Author: mmartial

Jetson/README.md

@@ -24,7 +24,7 @@ Please refer to the following for further details https://github.com/NVIDIA/nvid
 Because the `L4T BSP EULA` includes redistribution rights, we are able provide pre-compiled builds.
 In particular, please note that "By downloading these images, you agree to the terms of the license agreements for NVIDIA software included in the images"
 
-Publicly available builds can be found at https://hub.docker.com/r/datamachines/jetson-cuda_tensorflow_opencv
+Publicly available builds can be found at https://hub.docker.com/r/datamachines/jetson_tensorflow_opencv
 
 Most of the `README.md` in the parent directory explains the logic behind this tool, including the changes to said versions, such as:
 - Docker images tag naming

README.md

@@ -68,7 +68,7 @@ Version history:
 `jetson_tensorflow_opencv` (see the `Jetson` directory):
 - Builds a Nvidia Jetson `cudnn_tensorflow_opencv` container image based on Nvidia's provided `l4t` containers and adapted from the `Makefile` and `Dockerfile` used for the other builds.
 
-**Docker Images built from this repository are publicly available at https://hub.docker.com/r/datamachines/tensorflow_opencv / https://hub.docker.com/r/datamachines/cudnn_tensorflow_opencv / https://hub.docker.com/r/datamachines/jetsonn_tensorflow_opencv .**
+**Docker Images built from this repository are publicly available at https://hub.docker.com/r/datamachines/tensorflow_opencv / https://hub.docker.com/r/datamachines/cudnn_tensorflow_opencv / https://hub.docker.com/r/datamachines/jetson_tensorflow_opencv .**
 
 The [Builds-DockerHub.md](https://github.com/datamachines/cuda_tensorflow_opencv/blob/master/Builds-DockerHub.md) file is a quick way of seeing the list of pre-built container images. When available, a "BuiidInfo" will give the end user a deeper look of the capabilities of said container and installed version. In particular the compiled GPU architecture (see https://en.wikipedia.org/wiki/CUDA#GPUs_supported ).
 This is useful for you to decide if you would benefit from re-compiling some container(s) for your specific hardware.