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I'm a big believer in an idea that Nassim Taleb popularized in his Incerto series called the Lindy effect [https://en.wikipedia.org/wiki/Lindy_effect]. Put simply, it's a theory that the future life expectancy of some non-perishab…
This post is the fourth in a series on deep learning using Keras. We've already looked at dense networks with category embeddings, convolutional networks, and recommender systems. For this installment we're going to use recurrent…
In this post we'll continue the series on deep learning by using the popular Keras framework to build a recommender system. This use case is much less common in deep learning literature than things like image classifiers or text g…
In my last post, I kicked off a series on deep learning by showing how to apply several core neural network concepts such as dense layers, embeddings, and regularization to build models using structured and/or time-series data. In…
This post marks the beginning of what I hope to become a series covering practical, real-world implementations using deep learning. What sparked my motivation to do a series like this was Jeremy Howard's awesome fast.ai courses [h…