All posts by Sergey Kovalev

Using 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 the results of the research, which explored using the Caffe framework and encoder-decoder convolutional neural networks for lung image segmentation.

Prototype: TensorFlow-as-a-Service on OpenPOWER Machines

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.

Using Linear Regression in TensorFlow

April 13, 2016 | 0 Comments | Sergey Kovalev
In this tutorial, we demonstrate how to create a linear regression model 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.

Featured Guides