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CS224d: TensorFlow Tutorial

CS224d: TensorFlow TutorialBharath RamsundarAdministrative Announcements PSet 1 Due today 4/19 (3 late days maximum) PSet 2 Released tomorrow 4/20 (due 5/5) Help us help you! Fill out class survey to give us feedback. Qiaojing will host TensorFlow on AWS setup session in office hours, Sundar 4/24, 4-6 pm, Gates B24 Will host special TensorFlow help session in my office hours, Tuesday 4/26, 1-3 pm, Huang Package Zoo Torch Caffe Theano (Keras, Lasagne) CuDNN TensorFlow Mxnet Package Design Choices Model specification: Configuration file ( Caffe, DistBelief, CNTK) versus programmatic generation ( Torch, Theano, TensorFlow ) For programmatic models, choice of high-level language: Lua (Torch) vs. Python (Theano, TensorFlow ) vs others. We chose to work with python because of rich community and library vs.

TensorFlow Tutorial Bharath Ramsundar. Administrative Announcements PSet 1 Due today 4/19 (3 late days maximum) PSet 2 Released tomorrow 4/20 (due 5/5) Help us help you! Fill out class survey to give us feedback. Qiaojing will host Tensorflow on AWS setup session in

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Sequence to Sequence Learning with ... - Stanford University

cs224d.stanford.edu

1 Introduction Deep Neural Networks (DNNs) are extremely powerful machine learning models that achieve ex-cellent performanceon difficult problems such as speech rec ognition[13, 7] and visual object recog-nition [19, 6, 21, 20]. DNNs are powerful because they can perform arbitrary parallel computation for a modest number of steps.

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