Maschinelles Lernen mit TensorFlowZum Lab
Could use being updated. Lots of copy pasting but few explanations on why the code was made this way.
not enough time
hard editing, but good
Probably it's a good idea to add a comand for ignore Deprecation messages
Not enought time to go through the tutorial and train the model in the cloud platform
the apt git upgrade vever ended
Helps you learn how to use GC ML to implement ML experiments with TensorFlow. Getting the training job submitted successfully into the GC AI Platform was the tricky one. Got the error "ERROR: gcloud crashed (AttributeError): 'module' object has no attribute 'GetQuotaProject'" in my first two labs. Third attempt on a different day made it through the last step. Thank You (TensorFlowGCP, DSonGCPML)
too much file editing.
Getting the following error in section - Deploy the TensorFlow experimental framework to the Google Cloud ML Engine "gcloud ai-platform jobs submit training..............." " ERROR: gcloud crashed (AttributeError): 'module' object has no attribute 'GetQuotaProject' "
WARNING:tensorflow:From /home/student-00-1b29e5cd7fbb/tensorflow/flights/trainer/task.py:33: The name tf.logging.se t_verbosity is deprecated. Please use tf.compat.v1.logging.set_verbosity instead. WARNING:tensorflow:From /home/student-00-1b29e5cd7fbb/tensorflow/flights/trainer/task.py:33: The name tf.logging.IN FO is deprecated. Please use tf.compat.v1.logging.INFO instead.