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Advanced Convolutional Neural Networks
And evaluate with the following code:
estimator.evaluate(lambda:input_fn(test_images,
test_labels,
epochs=1,
batch_size=BATCH_SIZE))
If we run the code in Colab (Colab code can be found at https://colab.research.
google.com/drive/1mf-PK0a20CkObnT0hCl9VPEje1szhHat) we get the following
results:
Figure 12: Results from Colab
Run Fashion-MNIST the tf.keras - estimator
model on GPUs
In this section we aim at running the estimator on GPUs. All we need to do is to
change the strategy into a MirroredStrategy(). This strategy uses one replica per
device and sync replication for its multi-GPU version:
At this point we can start training:
Figure 13: Implementing the MirroredStrategy strategy
Figure 14: Training with MirroredStrategy
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