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Ahmet Taspinar's blog post was featured

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
Sirisha Sunkara liked Ahmet Taspinar's blog post Building Convolutional Neural Networks with Tensorflow
May 24
Duane Baker liked Ahmet Taspinar's blog post Naive Bayes Classification explained with Python code
Apr 28
Man liked Ahmet Taspinar's blog post Machine Learning with Signal Processing Techniques
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
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
Costas Bouyioukos liked Ahmet Taspinar's blog post Naive Bayes Classification explained with Python code
Apr 9
Azhar Bashir Khan liked Ahmet Taspinar's blog post Text Classification & Sentiment Analysis tutorial / blog
Feb 5
Lava Kafle liked Ahmet Taspinar's blog post Naive Bayes Classification explained with Python code
Jan 23
Lava Kafle liked Ahmet Taspinar's blog post Classification with scikit-learn
Jan 23
Ahmet Taspinar liked Ahmet Taspinar's blog post Using Convolutional Neural Networks to detect features in sattelite images
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
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
Scott Turner liked Ahmet Taspinar's blog post Building Convolutional Neural Networks with Tensorflow
Nov 9, 2017
ANISH XAVIER liked Ahmet Taspinar's blog post Logistic Regression and Maximum Entropy explained with examples and code
Nov 3, 2017

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Ahmet Taspinar's Blog

Building Recurrent Neural Networks in Tensorflow

Posted on July 5, 2018 at 11:48am 0 Comments

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 …

Continue

Machine Learning with Signal Processing Techniques

Posted on April 12, 2018 at 6:00am 0 Comments

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…

Continue

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…
Continue

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