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Building Recurrent Neural Networks in Tensorflow

Recurrent Neural Nets (RNN) detect features in sequential data (e.g. time-series data). Examples of applications which can be made using RNN’s are anomaly detection in time-series data, classification of ECG and …See More

Jul 7

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Sirisha Sunkara liked Ahmet Taspinar's blog post Building Convolutional Neural Networks with Tensorflow

May 24

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Apr 28

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Apr 16

Ahmet Taspinar posted a blog post

Machine Learning with Signal Processing Techniques

Stochastic Signal Analysis is a field of science concerned with the processing, modification and analysis of (stochastic) signals.Anyone with a background in Physics or Engineering knows to some degree about signal analysis techniques, what these technique are and how they can be used to analyze, model and classify signals.Data Scientists coming from a different fields, like Computer Science or Statistics, might not be aware of the analytical power these techniques bring with them.In this blog…See More

Apr 13

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Ahmet Taspinar's blog post was featured

Machine Learning with Signal Processing Techniques

Stochastic Signal Analysis is a field of science concerned with the processing, modification and analysis of (stochastic) signals.Anyone with a background in Physics or Engineering knows to some degree about signal analysis techniques, what these technique are and how they can be used to analyze, model and classify signals.Data Scientists coming from a different fields, like Computer Science or Statistics, might not be aware of the analytical power these techniques bring with them.In this blog…See More

Apr 13

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Costas Bouyioukos liked Ahmet Taspinar's blog post Naive Bayes Classification explained with Python code

Apr 9

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Dec 10, 2017

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

Dec 9, 2017

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, 2017

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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, 2017

0 Comments 2 Likes