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Commits on Oct 7, 2021

• Merge pull request #14 from Thimira/dependabot/pip/pillow-8.3.2

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• Merge pull request #9 from Thimira/dependabot/pip/jinja2-2.11.3

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• Merge pull request #13 from Thimira/dependabot/pip/tensorflow-2.5.1

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Commits on Sep 8, 2021

• Bump pillow from 7.0.0 to 8.3.2

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Commits on Aug 25, 2021

• Bump tensorflow from 2.1.0 to 2.5.1

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Commits on Mar 20, 2021

• Bump jinja2 from 2.11.1 to 2.11.3

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Commits on Oct 11, 2020

• two column view of the bird list in the about page

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Commits on Oct 2, 2020

• SEO Optimization and new Logo

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Commits on Sep 26, 2020

• Update website content

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• Fixing the bottom navigatio bar

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Commits on Sep 25, 2020

• Adding a background image to the jumbotron

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• Updated navigation

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• User experience improvements for the application

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• Updated about page

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• adding top 5 predictions to the output

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Commits on Sep 21, 2020

• Add new adversising publisher IDs

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• Updating config for version 0.4.0

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• Fixing several bugs in the training code

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• updated trainingmonitor for tf.keras

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• move old training code to the old_train_code separate directory

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Commits on Sep 18, 2020

• Adding nginx config file to increase the max upload size

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Commits on Sep 13, 2020

• updated for new website setup

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Commits on Sep 5, 2020

• updated number of training epochs

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• Switched to using ALBs for HTTPS redirection

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• Updated to TensorFlow 2.1.0

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• fixed the fine-tuning check

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• fixed the use of a incorrect variable

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Commits on Mar 18, 2020

• Merge pull request #4 from Thimira/dependabot/pip/tensorflow-1.15.2

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Commits on Jan 28, 2020

• Bump tensorflow from 1.15.0 to 1.15.2

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Commits on Jan 8, 2020

• adding the 'top_k_categorical_accuracy' metric to the model training

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• updating the flask application to use tf.keras, and adding ImageNet mean subtraction.

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• code cleanup: extracted class weights function, set proper path separators for some file paths

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• added class_weights, reduce LR of plateau, and seperate generators for training and validation

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Commits on Jan 3, 2020

• Optimizing the training script. Adding automatic resume from checkpoint and improved parallel processing.

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• Adding the TrainingMonitor class

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