An introduction solving differential equations numerically

Geplaatst Een reactie plaatsenGeplaatst in Machine Learning, Mathematics

In this blog-post we will have a look at how Differential Equations (DE) can be solved numerically via the Finite Differences method. By solving differential equations we can run simulations of dynamical systems and make predictions about the world. The reason for writing this blog-post is because I am interested in a new type of […]

Time-Series forecasting with Stochastic Signal Analysis techniques

Geplaatst 2 reactiesGeplaatst in Machine Learning, Stochastic signal analysis

1. Introduction In other blog-posts we have seen how we can use Stochastic signal analysis techniques for the classification of time-series and signals, and also how we can use the Wavelet Transform for classification and other Machine Learning related tasks. This blog-post can be seen as an introduction to those blog-posts and explains some of […]

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A guide for using the Wavelet Transform in Machine Learning

Geplaatst 96 reactiesGeplaatst 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

Geplaatst 3 reactiesGeplaatst 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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Using Convolutional Neural Networks to detect features in satellite images

Geplaatst 22 reactiesGeplaatst in convolutional neural networks, tensorflow

1. Introduction In the 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 […]

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Building Convolutional Neural Networks with Tensorflow

Geplaatst 4 reactiesGeplaatst in convolutional neural networks, deep learning, tensorflow

1. Introduction In the past I have mostly written about ‘classical’ Machine Learning, like Naive Bayes classification, Logistic Regression, and the Perceptron algorithm. 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. […]

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Regression, Logistic Regression and Maximum Entropy part 2 (code + examples)

Geplaatst 13 reactiesGeplaatst in Classification, Sentiment Analytics

update: The Python code for Logistic Regression can be forked/cloned from my Git repository. It is also available on PyPi. The relevant information in the blog-posts about Linear and Logistic Regression are also available as a Jupyter Notebook on my Git repository.   Introduction In the previous blog we have seen the theory and mathematics behind the […]

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Hello world!

Geplaatst Een reactie plaatsenGeplaatst in Uncategorized

“I have no doubt that in reality the future will be vastly more surprising than anything I can imagine. Now my own suspicion is that the Universe is not only stranger than we imagine, but queerer than we can imagine.” like most geeks, I am interested in future technologies and frequently read up on it. I find […]

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