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All posts by Sergey Kovalev
all resources
Blog
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Implementing k-means Clustering with TensorFlow
March 30, 2019
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Sergey Kovalev...
With code samples, this tutorial demonstrates how to use the k-means algorithm for grouping data into clusters with similar characteristics.
Experimenting with Deep Neural Networks for X-Ray Image Segmentation
June 20, 2016
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Sergey Kovalev
Learn how neural networks and deep learning frameworks such as Caffe can help with identifying diagnoses based on X-ray images.
Prototype: TensorFlow-as-a-Service on OpenPOWER Machines
May 5, 2016
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Sergey Kovalev...
This blog post introduces a PoC for creating a multi-tenant, multi-user TensorFlow environment using Docker and multiple GPUs.
Using Logistic and Softmax Regression with TensorFlow
April 15, 2016
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Sergey Kovalev
As an example, we'll be classifying handwritten digits (0–9) from the MNIST data set.
Implementing Linear Regression with TensorFlow
April 13, 2016
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Sergey Kovalev
In this tutorial, we demonstrate how to create a linear regression model with TensorFlow and optimize it using gradient descent.
Visualizing TensorFlow Graphs with TensorBoard
April 4, 2016
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Sergey Kovalev
With the sample source code, this blog post shows how to launch TensorBoard and use a set of operations for graph visualization in TensorFlow.
Basic Concepts and Manipulations with TensorFlow
February 19, 2016
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Sergey Kovalev
This blog post overviews the core TensorFlow entities—a graph, an operation, a tensor, and a session—to exemplify common computations made by the library.
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