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Posts Tagged ‘TensorFlow’

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TensorFlow for Manufacturers: Building a 3D Rendering Engine

January 31, 2017 | 1 Comment | Sophia Turol
With TensorFlow code samples, this blog post breaks down the process of polygonization used to build graphic applications, such as rendering engines.
 

2016–2017 Trends: Neo-AI and Neo-Luddism

January 9, 2017 | 0 Comments | Roger Strukhoff
We're in the third wave of artificial intelligence and the technology approaches that complement it. Now, the movement seems more focused. However, it can also lead to suspicions about the role of technology in the economy.
 

Introduction to Neural Networks and Metaframeworks with TensorFlow

January 5, 2017 | 0 Comments | Roger Strukhoff
This blog post highlights what it takes to train a recurrent / convolutional neural network, explores metaframeworks, identifies four unique object types, etc.
 

Using Machine Learning and TensorFlow to Recognize Traffic Signs

December 16, 2016 | 0 Comments | Sophia Turol
Using neural networks, road signs can be recognized right on the go while driving a car.
 

The Diversity of TensorFlow: Wrappers, GPUs, Generative Adversarial Networks, etc.

December 14, 2016 | 0 Comments | Sophia Turol
Enjoying its popularity, TensorFlow is now used in a variety of areas (e.g., to style images or automate cucumber sorting).
 

Analyzing Text and Generating Content with Neural Networks and TensorFlow

December 2, 2016 | 0 Comments | Sophia Turol
Learn how word embeddings help convolutional networks to classify text in e-mails and social media posts, as well as how content can be generated with TensorFlow.
 

Automating a Customer Service with Chatbots and Neural Networks

November 24, 2016 | 0 Comments | Sophia Turol
Learn how natural language processing can help in automating e-commerce and customer services, as well as how to train a network with TensorFlow and TFLearn.
 

What Is Behind Deep Reinforcement Learning and Transfer Learning with TensorFlow?

November 9, 2016 | 0 Comments | Sophia Turol
This blog post discusses deep reinforcement learning, the use of artificial neurons in TensorFlow, as well as training a model with little data through transfer learning.
 

Identifying Cancer Faster with Distributed TensorFlow on OpenPOWER

November 3, 2016 | 0 Comments | Roger Strukhoff...
A practical study evaluated the efficiency of training a TensorFlow model in a distributed mode for accelerating the analysis of medical images.
 

Applying TensorFlow to Detect and Predict Wildfires

October 14, 2016 | 1 Comment | Sophia Turol
Artificial neural networks can be used to mimic human analyst classifications and then applied to the data from remote-sensing satellites for wildfire prediction.
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