All posts by Sergey Kovalev

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Implementing k-means Clustering with TensorFlow

March 30, 2019 | 0 Comments | 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 | 0 Comments | 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 | 2 Comments | 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 | 0 Comments | 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 | 0 Comments | 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 | 0 Comments | 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 | 0 Comments | 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.