ImageNet Classification with Deep Convolutional Neural Networks - Krizhevsky et al. 2012 Like the large-vocabulary speech recognition paper we looked at yesterday, today's paper has also been described as a landmark paper in the history of deep learning. It's also a surprisingly easy read! The ImageNet dataset contains over 15 million labeled high-resolution images of ... Continue Reading

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition - Dahl et al. 2011 The title may be a bit of a mouthful, but this paper is often cited as a watershed moment for deep learning and speech recognition. It represents the first application of deep neural networks for large vocabulary speech recognition (LVSR), and ... Continue Reading

Deep Learning in Neural Networks: An Overview - Schmidhuber 2014 What a wonderful treasure trove this paper is! Schmidhuber provides all the background you need to gain an overview of deep learning (as of 2014) and how we got there through the preceding decades. Starting from recent DL results, I tried to trace back the ... Continue Reading