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Search Results for 'How It Works Convolutional Neural Networks'
Lecture 3: CNN: Back-propagation
marina-yarberry
boris . ginzburg@intel.com Lecture 2: Caffe : getting started
faustina-dinatale
Recitation: Rehearsing Wireless Packet Reception in Softwar
liane-varnes
DroNet: Learning to fly by driving
myesha-ticknor
Deconvolutional Networks
sherrill-nordquist
Compression of
phoebe-click
Generative Adversarial
calandra-battersby
Parsing Natural Scenes and Natural Language with Recursive Neural Networks Richard Socher
myesha-ticknor
Object detection, deep learning, and R-CNNs
pasty-toler
Object detection, deep learning, and R-CNNs
pamella-moone
Object detection, deep learning, and R-CNNs
yoshiko-marsland
Stereo Matching by Training a Convolutional Neural
calandra-battersby
Analyzing the Performance of Multilayer Neural Networks for Object Recognition Pulkit
luanne-stotts
Multicolumn Deep Neural Networks for Image Classication Dan Ciresan Ueli Meier and J urgen
faustina-dinatale
Neural Network Implementation
yoshiko-marsland
Deep Learning for Expression Recognition in Image Sequences
phoebe-click
A Fast and Accurate Dependency Parser using Neural Networks Danqi Chen Computer Science
sherrill-nordquist
Tracking destabilizing and disrupting dark net works with social networks analysis
natalia-silvester
Hill Climbing in Recurrent Neural Networks for Learning the Language Stephan Chalup School
giovanna-bartolotta
Deep Recursive Neural Networks for Compositionality in Language Ozan Irsoy Department
tawny-fly
The neural dynamics of insight
natalia-silvester
Addressing the Rare Word Problem in Neural Machine Translat
lois-ondreau
Neural Control of Behavior
olivia-moreira
Understanding the difculty of training deep feedforward neural networks Xavier Glorot
yoshiko-marsland
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