October 2018
Beginner
362 pages
9h 32m
English
Content preview from Hands-On Artificial Intelligence for Beginners
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Building a TensorFlow client
Lastly, we need to build a client to interact with our TensorFlow model. Building a custom client to interact with your model is a bit beyond the scope of this book, so we've provided this in the corresponding GitHub repository:
- Go ahead and download it with the following code:
pip install git+ssh://git@github.com/PacktPublishing/hands-On-Artificial-Intelligence-for-Beginners/tf-client.git
- Let's try using the client to send a request to the model:
from predict_client.prod_client import ProdClientclient = ProdClient('localhost:9000', 'simple', 1)req_data = [{'in_tensor_name': 'a', 'in_tensor_dtype': 'DT_INT32', 'data': 2}]client.predict(req_data)
What's happening here?
- The first line imports the client itself, ...
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