Using Convolutional Neural Networks to detect features in satellite images

Posted on 16 CommentsPosted 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

Posted on 4 CommentsPosted 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┬átechniques, 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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