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Ahmet Taspinar liked Ahmet Taspinar's blog post Using Convolutional Neural Networks to detect features in sattelite images
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Anirban Ganguly liked Ahmet Taspinar's blog post Using Convolutional Neural Networks to detect features in sattelite images
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Ahmet Taspinar posted a blog post

Using Convolutional Neural Networks to detect features in sattelite images

In a previous blog post we have seen how to build Convolutional Neural Networks (CNN) in Tensorflow, by building various CNN architectures (like LeNet5, AlexNet, VGGNet-16) from scratch and training them on the MNIST, CIFAR-10 and Oxflower17 datasets.It starts to get interesting when you start thinking about the practical applications of CNN and other Deep Learning methods.  If you have been following the latest technical developments you probably know that CNN’s are used for face recognition,…See More
Dec 5
Ahmet Taspinar's blog post was featured

Using Convolutional Neural Networks to detect features in sattelite images

In a previous blog post we have seen how to build Convolutional Neural Networks (CNN) in Tensorflow, by building various CNN architectures (like LeNet5, AlexNet, VGGNet-16) from scratch and training them on the MNIST, CIFAR-10 and Oxflower17 datasets.It starts to get interesting when you start thinking about the practical applications of CNN and other Deep Learning methods.  If you have been following the latest technical developments you probably know that CNN’s are used for face recognition,…See More
Dec 5
Scott Turner liked Ahmet Taspinar's blog post Building Convolutional Neural Networks with Tensorflow
Nov 9
ANISH XAVIER liked Ahmet Taspinar's blog post Logistic Regression and Maximum Entropy explained with examples and code
Nov 3

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http://ataspinar.com
Field of Expertise
Analytics, Data Science
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Software Engineer
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Ahmet Taspinar's Blog

Using Convolutional Neural Networks to detect features in sattelite images

Posted on December 4, 2017 at 5:00am 0 Comments

In a previous blog post we have seen how to build Convolutional Neural Networks (CNN) in Tensorflow, by building various CNN architectures (like LeNet5, AlexNet, VGGNet-16) from scratch and training them on the MNIST, CIFAR-10 and Oxflower17 datasets.

It starts to get interesting when you start thinking about the practical applications of CNN and other Deep Learning methods.  If you have been following the latest technical developments you probably know that CNN’s are…

Continue

Building Convolutional Neural Networks with Tensorflow

Posted on August 15, 2017 at 4:00am 0 Comments

In the past year I have also worked with Deep Learning techniques, and I would like to share with you how to make and train a Convolutional Neural Network from scratch, using tensorflow. Later on we can use this knowledge as a building block to make interesting Deep Learning applications.

The contents of this blog-post is as follows:

  1. Tensorflow basics:
    • 1.1 Constants and Variables
    • 1.2 Tensorflow Graphs and Sessions
    • 1.3 Placeholders and…
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Classification with scikit-learn

Posted on May 26, 2017 at 4:30am 1 Comment

For python programmers, scikit-learn is one of the best libraries to build Machine Learning applications with. It is ideal for beginners because it has a really simple interface, it is well documented with many examples and tutorials.

Besides supervised machine learning (classification and regression), it can also be used for clustering, dimensionality reduction, feature extraction and engineering,  and pre-processing the data. The interface is consistent over all of these methods, so…

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Naive Bayes Classification explained with Python code

Posted on December 15, 2016 at 2:00pm 0 Comments

Introduction:

Machine Learning is a vast area of Computer Science that is concerned with designing algorithms which form good models of the world around us (the data coming from the world around us).

Within Machine Learning many tasks are - or can be reformulated as - classification tasks.

In classification tasks we are trying to produce a model which can give the correlation…

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