Nikhil Buduma | The Curse of Dimensionality and the Autoencoder
10 March 2015 Let's say you're working on a cool image processing project, and your goal is to build an algorithm that analyzes faces for emotions. It takes in a 256 pixel by 256 pixel grayscale image as its input and spits out an emotion as an answer. For example, if you passed in the following image, you'd expect the algorithm to label it as "happy." A greyscale input image of a happy man Now th
Nikhil Buduma | A Deep Dive into Recurrent Neural Nets
11 January 2015 Last time, we talked about the traditional feed-forward neural net and concepts that form the basis of deep learning. These ideas are extremely powerful! We saw how feed-forward convolutional neural networks have set records on many difficult tasks including handwritten digit recognition and object classification. And even today, feed-forward neural networks consistently outperform
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