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Commits on May 18, 2020

• Added #include <stdio.h> to ILayer.hpp as build failure was reported with MinGW.

  andrewkirillov

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Commits on Dec 22, 2018

• Added README files for the ANNT library.

  andrewkirillov

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Commits on Dec 20, 2018

• Explicitly using output of recurrent network to generate next digit of a sequence. Does not change anything, but looks clearer as example.

  andrewkirillov

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• Fixing minor typos in README.

  andrewkirillov

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Commits on Dec 19, 2018

• Fixing more README typos.

  andrewkirillov

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• Fixing README typo.

  andrewkirillov

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Commits on Dec 17, 2018

• Minor update of code comment.

  andrewkirillov

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• Removed RecurrentTrainingDepth() method as so far it did not prove being useful.

  andrewkirillov

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Commits on Dec 5, 2018

• Reworked implementation of recurrent layer, so it does not include an extra fully connected layer. If users needs it, then let them add it explicitly.

  andrewkirillov

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Commits on Nov 21, 2018

• Added readme file for the rnn_time_series example.

  andrewkirillov

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Commits on Nov 16, 2018

• Added readme file for the rnn_sequence example.

  andrewkirillov

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• Updated rnn_sequence example, so it trains successfully with any supported recurrent network architecture.

  andrewkirillov

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• Minor updates to rnn_words - comments mostly.

  andrewkirillov

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• Added link to dataset.

  andrewkirillov

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• Added readme for the rnn_words example.

  andrewkirillov

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• Updated readme file for rnn_mnist example.

  andrewkirillov

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Commits on Nov 15, 2018

• Initial readme for rnn_mnist example.

  andrewkirillov

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Commits on Nov 14, 2018

• Updated readme file for the examples folder.

  andrewkirillov

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• Added readme for the data/words folder.

  andrewkirillov

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• Addded GCC makefile for rnn_words.

  andrewkirillov

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• Added rnn_words sample application, which generates words (names of cities) using recurrent ANN (GRU).

  andrewkirillov

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• Added dataset file, which contains 997 names of US cities.

  andrewkirillov

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Commits on Nov 12, 2018

• Fixing minor compile warning - unreferenced variables.

  andrewkirillov

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Commits on Nov 9, 2018

• Minor optimization to GRU and LSTM layers.

  andrewkirillov

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• Reworked XRecurrentLayer so its backward pass runs in parallel. While doing rework, fixed a bad bug - updates for weights matrices W and V were not actually calculated correctly (essentially the la…

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  andrewkirillov

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• Using GRU layer in rnn_mnist - runs a bit faster and get better accuracy.

  andrewkirillov

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• Updated GRU layer's backward pass so it runs in parallel.

  andrewkirillov

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Commits on Nov 8, 2018

• Added support for recurrent training depth into GRU layer and simple recurrent layer.

  andrewkirillov

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• Added rnn_mnist example into common GCC makefile.

  andrewkirillov

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• Fixed GCC build of rnn_mnist (makefile was missing mnist parser).

  andrewkirillov

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• Added initial code for the rnn_mnist example.

  andrewkirillov

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• Reworked classification training helper so that some of its internal helper function could be reused by custom training loop implementations.

  andrewkirillov

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• Updating .gitignore to ignore some MSVC generated folders (Debug, Release, .vs, ...).

  andrewkirillov

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Commits on Nov 7, 2018

• Reworked LSTM's backward pass, so it can run in parallel.

  andrewkirillov

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Commits on Nov 6, 2018

• Merge branch 'master' of https://github.com/cvsandbox/ANNT

  andrewkirillov

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