Posts Tagged ‘Machine Learning’

Introduction to Skflow and TensorFlow

April 11, 2016 | 0 Comments | Sophia Turol
Scikit Flow, a simplified TensorFlow interface, provides modeling and visualization techniques to get started with predictive analysis and data mining.

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.

Distributed Multi-Device Execution of TensorFlow for IoT

March 21, 2016 | 1 Comment | Sophia Turol
Learn about TensorBoard’s capabilities in visualizing learning, the challenges of using TensorFlow for embedded systems, and multi-dimensional IoT data.

Machine Learning Expansion: Azure ML Studio and BigML

This blog post compares the two solutions across seven parameters, such as distribution model, supported languages, data formats and sources, pricing, etc.

Diving into the TensorFlow Code

February 24, 2016 | 0 Comments | Sophia Turol
This blog post looks into the variables, placeholders, cost values, etc. of TensorFlow code and discusses the potential of Deep Q-Learner.

Getting Started with a CPU-Enabled TensorFlow Instance on AWS

February 23, 2016 | 0 Comments | Evheny Shaliov
The tutorial provides instructions on how to create an AWS instance, configure TensorFlow environment, and start using a set of visualization tools—TensorBoard.

Discussing TensorFlow, Google Brain, OpenAI, and End-to-End Examples

February 22, 2016 | 0 Comments | Sophia Turol
Learn about the differences of TensorFlow from similar libraries, end-to-end examples, and open collaboration around artificial intelligence.

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.

Discussing TensorFlow History, Challenges, and Learning Perspective

February 18, 2016 | 0 Comments | Sophia Turol
This blog post overviews under-the-hood mechanism of TensorFlow, features end-to-end examples, and discusses the future of the project as seen by Google Brain.

How to Set Up a GPU-Enabled TensorFlow Instance on AWS

January 28, 2016 | 0 Comments | Evheny Shaliov
This step-by-step tutorial explains how to create an instance, configure the environment, run a sample, and use TensorBoard.