Category: neural-networks 2024 Paper review: X-Sample Contrastive Loss Nov 04 2024 2018 Preparing continuous features for neural networks with GaussRank Jan 22 2018 2017 Introduction to pointer networks Jul 03 2017 Data in, predictions out Jan 09 2017 2016 Deep learning architecture diagrams Sep 28 2016 ^one weird trick for training char-^r^n^ns May 31 2016 2015 What you wanted to know about TensorFlow Nov 30 2015 Deep nets generating stuff Jun 30 2015 What you wanted to know about AI Mar 16 2015 Juergen Schmidhuber's answers from the Reddit AMA Mar 05 2015 Torch vs Theano Feb 09 2015 Loading data in Torch (is a mess) Jan 19 2015 2014 Geoff Hinton's Dark Knowledge Oct 31 2014 ICLR 2014 tidbits Sep 29 2014 Michael Jordan on deep learning Sep 14 2014 Extreme Learning Machines Jun 25 2014 Yann LeCun's answers from the Reddit AMA May 26 2014 Deep learning these days Apr 12 2014 PyBrain - a simple neural networks library in Python Mar 06 2014 Yesterday a kaggler, today a Kaggle master: a wrap-up of the cats and dogs competition Feb 02 2014 How to get predictions from Pylearn2 Jan 20 2014 Classifying images with a pre-trained deep network Jan 10 2014 2013 Regularizing neural networks with dropout and with DropConnect Dec 28 2013 Object recognition in images with cuda-convnet Nov 27 2013 Maxing out the digits Nov 02 2013 Pylearn2 in practice Oct 06 2013 A bag of words and a nice little network Aug 23 2013 Running things on a GPU Jul 14 2013