Posts Tagged ‘Machine Learning’

TensorFlow in Action: TensorBoard, Training a Model, and Deep Q-learning

May 16, 2016 | 0 Comments | Sophia Turol
This blog post discusses TensorFlow’s mechanics of learning, overviews TensorBoard, as well as looks into Q-learning and convolutional networks.

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 IBM Analytics for Apache Spark in Java/Scala Apps on Bluemix

May 3, 2016 | 0 Comments | Siarhei Sidarau
This article demonstrates how to interact with IBM Analytics for Apache Spark through Jupiter Notebook and the spark-submit.sh script.

Deep Learning in Healthcare, Finance, and IIoT: TensorFlow Use Cases

May 2, 2016 | 0 Comments | Sophia Turol
Find how deep learning can benefit healthcare and finance, study industrial use cases, and see the advantages of intelligent video analytics and anomaly detection.

TensorFlow in Practice: Interactive Prototyping and Multi-GPU Usage

April 27, 2016 | 0 Comments | Alex Khizhniak
Yaroslav Bulatov of Google demonstrated how TensorFlow works, providing recommendations and code samples for computational graphs, sessions, etc.

An Overview of TensorFlow Mechanics and Future of AI

April 20, 2016 | 0 Comments | Sophia Turol
This blog post overviews the basics of TensorFlow with code examples, discusses its advantages, and looks into the benefits of machine learning for healthcare.

Using TensorFlow and Long Short-Term Memory for Visualized Learning

April 18, 2016 | 0 Comments | Sophia Turol
This blog post discusses visualized learning, features a language modeling scenario, and looks into the usage of long short-term memory in 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.