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Commits on Oct 6, 2018

• Added more optimizers: AdaDelta, Adam and Nadam.

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Commits on Aug 27, 2018

• Finished commenting utils.py and completed a README.md file

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Commits on Aug 8, 2018

• Added the modified MNIST net.

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Commits on Aug 4, 2018

• Added the credentials for boto3

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• Moved the metrics list from being a hard-coded to the external config file.

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Commits on Aug 3, 2018

• Added comments for all files.

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Commits on Jul 30, 2018

• Removed indices column fro csv outputs.

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• Minor updates performed after using the progtam from the remote GPU machine.

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Commits on Jul 16, 2018

• Updated command line interface- experiments file is now an optional argument.

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Commits on Jul 14, 2018

• Fixed errors in using initial weights files. Tested using tensorboard for showing validation and training performance in the same graphs.

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Commits on Jul 11, 2018

• Added support for command line arguments. Added function for uploading to s3 (not yet tested).

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• Changed syntax in main.py

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Commits on Jul 10, 2018

• Fixed errors in saving weights, without using a TensorFlow's session. Added utils.py which includes any utilities functions for recording the experiments.

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• Fixed errors in using the date in the weights filename.

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• Fixed errors in predict method of the models.

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Commits on Jul 8, 2018

• Moved responsibility of encoding labels from datasets.py to the model template class.

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Commits on Jul 7, 2018

• Added names for the layers of MNIST model.

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Commits on Jul 5, 2018

• Completed average precision and recall.

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Commits on Jul 2, 2018

• Added support for Tensorboard logging.

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Commits on Jun 30, 2018

• Imported Keras directly instead of using it from TensorFlow.

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Commits on Jun 29, 2018

• Added matrics for recall, precision and accuracy.

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Commits on Jun 26, 2018

• Added metrics for binary recall and precision. They need to be generalized to multi-class.

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Commits on Jun 25, 2018

• Imported confusion matrix calculation from scikit-learn.

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• Added a second network for the keras-CIFAR10. Added a layer file for managing all usable layer types for a model.

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Commits on Jun 20, 2018

• Added preprocessing for images. MNIST network was run on colabratory and the results are kepy in google drive.

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• Created the infrastructure for reading datasets. MNIST was created successfully.

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Commits on Jun 19, 2018

• Implemented the optimizers gradient descent and adagrad.

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Commits on Jun 18, 2018

• Starting creation of infrastructure for models.

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Commits on Jun 17, 2018

• LICENSE created online with Bitbucket

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• .gitignore created online with Bitbucket

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• Initial commit

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