A guide for using the Wavelet Transform in Machine Learning

Posted on 47 CommentsPosted in Classification, convolutional neural networks, Machine Learning, recurrent neural networks, scikit-learn, Stochastic signal analysis, tensorflow, Uncategorized

1. Introduction In a previous blog-post we have seen how we can use Signal Processing techniques for the classification of time-series and signals. A very short summary of that post is: We can use the Fourier Transform to  transform a signal from its time-domain to its frequency domain. The peaks in the frequency spectrum indicate […]

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Building Recurrent Neural Networks in Tensorflow

Posted on 2 CommentsPosted in Classification, Machine Learning, recurrent neural networks, tensorflow

Introduction In the previous blog posts we have seen how we can build Convolutional Neural Networks in Tensorflow and also how we can use Stochastic Signal Analysis techniques to classify signals and time-series. In this blog post, lets have a look and see how we can build Recurrent Neural Networks in Tensorflow and use them to […]

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