Building Convolutional Neural Networks with Tensorflow

Posted on 1 CommentPosted 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)

Posted on 8 CommentsPosted 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!

Posted on Leave a commentPosted 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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