![]() To begin, let's configure fit() to save the model to a Cloud Storage, and set The storage bucket can be used to save and load large trainingĭatasets, store callback logs or model weights, and save trained model files. We can direct TensorFlow Cloud to our Cloud Storage bucket forĪ variety of tasks. In most cases, you'll want to retrieve your model after training on Google Cloud.įor this, it's crucial to redirect saving and loading to Cloud Storage while If you're a new Google Cloud user, there are a fewĭetailed first-time setup instructions can be found in theĪnd an additional setup example is shown on the In order to facilitate the proper pathways for Cloud training, you will need toĭo some first-time setup. The default VM configuration is 1 chief and 0 workers with 8 CPU cores andġ Tesla T4 GPU.
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