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Chapter 14The first thing is to create a new notebook (see Figure 30):Figure 30: GCP – creating a new notebookThen a new instance with TensorFlow 2.0 (see Figure 31):Figure 31: GCP – creating a new notebook instance with TensorFlow 2.0[ 517 ]
An introduction to AutoMLThis will create a new machine (see Figure 32):Figure 32: GCP – provisioning a new machine with TensorFlow 2.0Once the machine has been provisioned, we can open Jupyter Notebook (see Figure33) and clone the repository by clicking the link provided by the environment in theUI (see Figure 34):Figure 33: GCP – opening JupyterLabFigure 34: JupyterLab – cloning a Git repo by using the icon in greyWe can now preprocess all the images in our bucket by running all the cells in thenotebook (see Figure 35). The notebook will help preprocessing them. Make surethat you customize the notebook to take into account your data paths, and GCPbuckets:[ 518 ]
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An introduction to AutoML
This will create a new machine (see Figure 32):
Figure 32: GCP – provisioning a new machine with TensorFlow 2.0
Once the machine has been provisioned, we can open Jupyter Notebook (see Figure
33) and clone the repository by clicking the link provided by the environment in the
UI (see Figure 34):
Figure 33: GCP – opening JupyterLab
Figure 34: JupyterLab – cloning a Git repo by using the icon in grey
We can now preprocess all the images in our bucket by running all the cells in the
notebook (see Figure 35). The notebook will help preprocessing them. Make sure
that you customize the notebook to take into account your data paths, and GCP
buckets:
[ 518 ]