Implementing k-means Clustering with TensorFlow
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
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
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
As an example, we'll be classifying handwritten digits (0–9) from the MNIST data set.
Implementing Linear Regression with TensorFlow
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
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
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.
