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Showing below up to 50 results in range #131 to #180.
- f14Stat842EditorSignUp (09:46, 30 August 2017)
- stat946f15 (09:46, 30 August 2017)
- graves et al., Speech recognition with deep recurrent neural networks (09:46, 30 August 2017)
- proposal for STAT946 (Deep Learning) final projects Fall 2015 (09:46, 30 August 2017)
- overfeat: integrated recognition, localization and detection using convolutional networks (09:46, 30 August 2017)
- goingDeeperWithConvolutions (09:46, 30 August 2017)
- parsing natural scenes and natural language with recursive neural networks (09:46, 30 August 2017)
- human-level control through deep reinforcement learning (09:46, 30 August 2017)
- learning Hierarchical Features for Scene Labeling (09:46, 30 August 2017)
- deep Sparse Rectifier Neural Networks (09:46, 30 August 2017)
- deep neural networks for acoustic modeling in speech recognition (09:46, 30 August 2017)
- stat946f15/Deep neural networks for acoustic modeling in speech recognition (09:46, 30 August 2017)
- deepGenerativeModels (09:46, 30 August 2017)
- dropout (09:46, 30 August 2017)
- learning2reasoning (09:46, 30 August 2017)
- show, Attend and Tell: Neural Image Caption Generation with Visual Attention (09:46, 30 August 2017)
- neural Machine Translation: Jointly Learning to Align and Translate (09:46, 30 August 2017)
- neural Turing Machines (09:46, 30 August 2017)
- question Answering with Subgraph Embeddings (09:46, 30 August 2017)
- imageNet Classification with Deep Convolutional Neural Networks (09:46, 30 August 2017)
- natural language processing (almost) from scratch. (09:46, 30 August 2017)
- from Machine Learning to Machine Reasoning (09:46, 30 August 2017)
- joint training of a convolutional network and a graphical model for human pose estimation (09:46, 30 August 2017)
- genetics (09:46, 30 August 2017)
- memory Networks (09:46, 30 August 2017)
- deep Learning of the tissue-regulated splicing code (09:46, 30 August 2017)
- learning Phrase Representations (09:46, 30 August 2017)
- scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines (09:46, 30 August 2017)
- deep Convolutional Neural Networks For LVCSR (09:46, 30 August 2017)
- extracting and Composing Robust Features with Denoising Autoencoders (09:46, 30 August 2017)
- deep Generative Stochastic Networks Trainable by Backprop (09:46, 30 August 2017)
- very Deep Convoloutional Networks for Large-Scale Image Recognition (09:46, 30 August 2017)
- the Wake-Sleep Algorithm for Unsupervised Neural Networks (09:46, 30 August 2017)
- continuous space language models (09:46, 30 August 2017)
- generating text with recurrent neural networks (09:46, 30 August 2017)
- learning Long-Range Vision for Autonomous Off-Road Driving (09:46, 30 August 2017)
- distributed Representations of Words and Phrases and their Compositionality (09:46, 30 August 2017)
- the Manifold Tangent Classifier (09:46, 30 August 2017)
- learning Convolutional Feature Hierarchies for Visual Recognition (09:46, 30 August 2017)
- on the Number of Linear Regions of Deep Neural Networks (09:46, 30 August 2017)
- a fast learning algorithm for deep belief nets (09:46, 30 August 2017)
- the loss surfaces of multilayer networks (Choromanska et al.) (09:46, 30 August 2017)
- learning Fast Approximations of Sparse Coding (09:46, 30 August 2017)
- deep Neural Nets as a Method for Quantitative Structure–Activity Relationships (09:46, 30 August 2017)
- strategies for Training Large Scale Neural Network Language Models (09:46, 30 August 2017)
- on using very large target vocabulary for neural machine translation (09:46, 30 August 2017)
- mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION (09:46, 30 August 2017)
- on the difficulty of training recurrent neural networks (09:46, 30 August 2017)
- semi-supervised Learning with Deep Generative Models (09:46, 30 August 2017)
- stat946f17 (23:10, 25 September 2017)