  #nvidia-ml-py3
  h5py==2.9.0
  Keras==2.2.4
  pywin32 ; sys_platform == "win32"
  pynvx==0.0.4 ; sys_platform == "darwin"
  
  # tensorflow is included within the docker image.
  # If you are looking for dependencies for a manual install,
  
  # NB: Tensorflow version 1.12 is the minimum supported version of Tensorflow.
 
</s> remove         max_ver = 1.14
 </s> add         max_ver = 1.15 </s> remove         return "conda" in sys.version.lower()
 </s> add         return ("conda" in sys.version.lower() or
                os.path.exists(os.path.join(sys.prefix, 'conda-meta'))) </s> remove matplotlib==2.2.2
imageio==2.5.0
 </s> add matplotlib==3.1.1
imageio==2.6.1 </s> remove                            ">=1.13.1,<1.15": ["10.0", "7.4"]}  # TF 2.0 Not currently supported
 </s> add                            ">=1.13.1,<1.16": ["10.0", "7.4"]}  # TF 2.0 Not currently supported
pynvx==1.0.0 ; sys_platform == "darwin"
  #nvidia-ml-py3
  h5py==2.9.0
  Keras==2.2.4
  pywin32 ; sys_platform == "win32"
pynvx==1.0.0 ; sys_platform == "darwin"
  
  # tensorflow is included within the docker image.
  # If you are looking for dependencies for a manual install,
  
  # NB: Tensorflow version 1.12 is the minimum supported version of Tensorflow.
keep keep keep keep replace keep keep keep keep keep
 Update Dependencies (#950)

* 1st Round update for Python 3.7, TF1.15, Keras2.3
    Move Tensorflow logging verbosity prior to first tensorflow import
    Keras Optimizers and nn_block update
    lib.logger - Change tf deprecation messages from WARNING to DEBUG
    Raise Tensorflow Max version check to 1.15
    Update requirements and conda check for python 3.7+
    Update install scripts, travis and documentation to Python 3.7

* Revert Keras to 2.2.4 
requirements.txt