VirtualTam's bookmarks

41. Chatbots with Seq2Seq 2017-09-06

    tags: bot, chat, deep-learning, machine-learning, sequence

    [ permalink ]

    • https://suriyadeepan.github.io/2016-12-31-practical-seq2seq/
    • https://github.com/suriyadeepan/myshkin
    • http://www.mitsuku.com/
    • https://arxiv.org/abs/1406.1078
    • https://github.com/farizrahman4u/seq2seq
42. Sounderfeit: Cloning a Physical Model with Conditional Adversarial Autoencoders 2017-09-06

    tags: audio, machine-learning, synthesis

    [ permalink ]

    • https://gitlab.com/sinclairs/sounderfeit
43. Deep Learning From Scratch: Theory and Implementation – deep ideas 2017-09-06

    tags: deep-learning, machine-learning, machine-learning/tensorflow, neural-network, programming/python

    [ permalink ]

    • http://www.deepideas.net/deep-learning-from-scratch-i-computational-graphs/
    • http://www.deepideas.net/deep-learning-from-scratch-ii-perceptrons/
    • http://www.deepideas.net/deep-learning-from-scratch-iii-training-criterion/
    • http://www.deepideas.net/deep-learning-from-scratch-iv-gradient-descent-and-backpropagation/
    • http://www.deepideas.net/deep-learning-from-scratch-v-multi-layer-perceptrons/
44. model selection - How to choose the number of hidden layers and nodes in a feedforward neural network? - Cross Validated 2017-08-22

    tags: hidden, machine-learning, neural-network

    [ permalink ]
45. What is back propagation in neural networks? 2017-08-22

    tags: machine-learning, neural-network, recurrent, synapse

    [ permalink ]

    • https://en.wikipedia.org/wiki/Backpropagation
    • https://www.quora.com/How-do-you-explain-back-propagation-algorithm-to-a-beginner-in-neural-network
    • https://stackoverflow.com/questions/38340791/guided-back-propagation-in-tensorflow#38341080
    • https://www.tensorflow.org/tutorials/recurrent
    • https://stackoverflow.com/questions/40868896/backpropagation-through-time-bptt-of-lstm
46. machine learning - What does the hidden layer in a neural network compute? - Cross Validated 2017-08-20

    tags: hidden, layer, machine-learning, neural-network, synapse

    [ permalink ]

    • https://static.googleusercontent.com/media/research.google.com/en//archive/unsupervised_icml2012.pdf
    • https://www.cs.cmu.edu/~dst/pubs/byte-hiddenlayer-1989.pdf
47. TensorFlow for Poets « Pete Warden's blog 2017-08-20

    tags: data, deep-learning, machine-learning, machine-learning/tensorflow, mobile/android, programming/java, programming/python, visualization

    [ permalink ]

    • https://codelabs.developers.google.com/codelabs/tensorflow-for-poets/
    • https://codelabs.developers.google.com/codelabs/tensorflow-for-poets-2/
    • https://www.tensorflow.org/serving/
48. SVMs - An overview of Support Vector Machines - SVM Tutorial 2017-08-17

    tags: data, machine-learning, support-vector-machine

    [ permalink ]

    • https://www.svm-tutorial.com/2014/11/svm-understanding-math-part-1/
    • https://www.svm-tutorial.com/2014/11/svm-understanding-math-part-2/
49. Michal Kosinski: The End of Privacy | Stanford Graduate School of Business 2017-05-29

    tags: data, machine-learning, privacy, security

    [ permalink ]

    • https://www.gsb.stanford.edu/insights/michal-kosinski-ai-already-smarter-we-are
    • https://www.gsb.stanford.edu/insights/michal-kosinski-can-we-out-evolve-artificial-intelligence
50. Natural Language Processing (Almost) from Scratch 2017-05-24

    tags: machine-learning, natural-language-processing, research

    [ permalink ]
51. dlib C++ Library 2017-05-24

    tags: deep-learning, machine-learning, natural-language-processing, programming/c++, programming/python

    [ permalink ]

    • https://github.com/davisking/dlib

    via http://blog.dlib.net/2014/04/mitie-completely-free-and-state-of-art.html via https://www.reddit.com/r/MachineLearning/comments/26pzim/current_state_of_the_art_in_named_entity/

52. Distributed Evolutionary Algorithms in Python 2017-05-05

    tags: genetic-algorithm, machine-learning, programming, programming/python

    [ permalink ]

    • https://github.com/deap/deap
53. Introduction to Local Interpretable Model-Agnostic Explanations (LIME) - O'Reilly Media 2017-05-05

    tags: data, machine-learning, model

    [ permalink ]

    • http://www.kdnuggets.com/2016/08/introduction-local-interpretable-model-agnostic-explanations-lime.html
    • https://github.com/marcotcr/lime
    • https://www.youtube.com/watch?v=hUnRCxnydCc
54. Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano 2017-05-05

    tags: bayesian, data, machine-learning, markov, model, programming/python, stochastic

    [ permalink ]

    • https://github.com/pymc-devs/pymc3
    • https://github.com/pymc-devs/pymc
    • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3097064/
55. Publicly Available Spam Filter Training Sets 2017-05-05

    tags: bayesian-filter, dataset, email, email/spam, machine-learning, spamassassin

    [ permalink ]

    • http://www.paulgraham.com/spamarchives.html
    • http://untroubled.org/spam/
    • https://spamassassin.apache.org/old/publiccorpus/
    • https://github.com/dmitrynogin/SpamAssassin
    • http://archive.ics.uci.edu/ml/datasets/Spambase + http://statweb.stanford.edu/~tibs/ElemStatLearn/
    • https://inclass.kaggle.com/c/adcg-ss14-challenge-02-spam-mails-detection
    • https://www.kaggle.com/rtatman/fraudulent-email-corpus
    • https://www.kaggle.com/veleon/ham-and-spam-dataset
    • https://www.kaggle.com/beatoa/spamassassin-public-corpus
    • http://www.csmining.org/index.php/spam-assassin-datasets.html
    • http://artinvoice.hu/spams/
    • http://www2.aueb.gr/users/ion/data/enron-spam/
    • https://security.stackexchange.com/questions/223731/spamassassin-public-corpus
56. ACL Anthology | A Digital Archive of Research Papers in Computational Linguistics 2017-04-24

    tags: machine-learning, natural-language-processing, research

    [ permalink ]
57. Image-to-Image Demo - Affine Layer 2017-04-24

    tags: cat, edge, image, machine-learning, shape, shoe, wall

    [ permalink ]

    • https://github.com/affinelayer/pix2pix-tensorflow
58. Neural nets, graphic design and death metal – Rob Peart – Medium 2017-04-24

    tags: death, deep-learning, image, machine-learning, metal, neural-network

    [ permalink ]
59. The Unreasonable Effectiveness of Recurrent Neural Networks 2017-04-24

    tags: machine-learning, neural-network

    [ permalink ]
60. visakanv-RNN — machine-generated husband chatter – sharan kaur – Medium 2017-04-24

    tags: machine-learning, neural-network, personal-knowledge/blog, text

    [ permalink ]

    • http://www.jeffreythompson.org/blog/2016/03/25/torch-rnn-mac-install/
    • http://www.asaduddin.com/2017/03/torch-rnn-macos-installation-guide-2017-average-joe-edition/
    • https://medium.com/@samim/ted-rnn-machine-generated-ted-talks-3dd682b894c0
    • https://medium.com/@samim/obama-rnn-machine-generated-political-speeches-c8abd18a2ea0
    • http://visakanv.com/1000/
    • https://medium.com/@visakanv