Posts Tagged ‘TensorFlow’

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.

Neural Networks, Transfer Learning, and Visualizing Graphs with TensorFlow

April 14, 2016 | 1 Comment | Sophia Turol
Learn what's behind the architecture of a convolutional neural network, how it can be implemented with TensorFlow, how to visualize graphs with TensorBoard, etc.

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.

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.

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.