November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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Deep delving inside the TFoS API
The use of TFoS can be divided into three basic steps:
- Launch the TensorFlow cluster. We can launch the cluster using TFCluster.run:
cluster = TFCluster.run(sc, map_fn, args, num_executors, num_ps, tensorboard, input_mode)
- Feed the data into the TensorFlow app. The data is given for both training and inference. To train, we use the train method:
cluster.train(dataRDD, num_epochs)
We perform the inference with the help of cluster.inference(dataRDD).
- Finally, shut down the TensorFlow cluster with cluster.shutdown().
We can modify any TensorFlow program to work with TFoS. In the following section, we'll look at how we can train a model to recognize handwritten digits using TFoS.
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