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age author description
2017-12-11 Jeff Hammel notes on averaging
2017-12-02 Jeff Hammel [documentation] install editable instructions that work
2017-12-02 Jeff Hammel require tensorflow
2017-10-08 Jeff Hammel more links
2017-10-08 Jeff Hammel [link] machinelearningmastery.com
2017-09-29 Jeff Hammel [doc] link to deeplearn.js
2017-09-24 Jeff Hammel [regression] add better cost function for sigmoids
2017-09-24 Jeff Hammel [logistic regression] note further steps
2017-09-24 Jeff Hammel [documentation] cache coursera notes
2017-09-23 Jeff Hammel [documentation] link to lore python lib
2017-09-18 Jeff Hammel [compat] fix variable scoping for py3
2017-09-17 Jeff Hammel add module + test for uniqueness
2017-09-17 Jeff Hammel [doc] references to ML projects
2017-09-17 Jeff Hammel [doc] illustration of fwd+back propagation
2017-09-17 Jeff Hammel [doc] add a placeholder for discussion of datasets
2017-09-10 Jeff Hammel note dependencies
2017-09-04 Jeff Hammel notes on backpropagation
2017-09-04 Jeff Hammel [documentation] notes + stubs on gradient descent
2017-09-04 Jeff Hammel [activation functions] add ReLU
2017-09-04 Jeff Hammel derivative of sigmoid
2017-09-04 Jeff Hammel [activation functions] placeholder
2017-09-04 Jeff Hammel [packaging] lets try out scikit learn
2017-09-04 Jeff Hammel [packaging] add a MANIFEST.in, mostly for show
2017-09-04 Jeff Hammel [documentation] note more links
2017-09-04 Jeff Hammel documentation
2017-09-04 Jeff Hammel [documentation] more matrix notes
2017-09-04 Jeff Hammel [documentation] add notes for matrices + vectorization
2017-09-04 Jeff Hammel [tox] use 3.5 too
2017-09-04 Jeff Hammel finalize logistic regression notes
2017-09-04 Jeff Hammel [logistic regression] add model
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