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by Prashant Sharma | Published February 21, 2019
This series discusses using a basic deep neural network to solve an image recognition problem. In the first article, emphasis is more on the overall technique and the use of a library than perfecting the model. The second articl explains how to improve the results.
Use computer vision, TensorFlow, and Keras for image classification and processing.
Improve your neural network model by using some well-known machine learning techniques.
August 30, 2019
Deploy model-serving microservices from the Model Asset Exchange on Red Hat OpenShift.
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