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Posts Tagged ‘Machine Learning’

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.

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.

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.

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.
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