diff --git a/LICENSE.md b/LICENSE similarity index 96% rename from LICENSE.md rename to LICENSE index 38420b19..60c1e93b 100644 --- a/LICENSE.md +++ b/LICENSE @@ -1,6 +1,6 @@ MIT License -Copyright (c) 2020 The Rubix ML Community +Copyright (c) 2020 Rubix ML Copyright (c) 2020 Andrew DalPino Permission is hereby granted, free of charge, to any person obtaining a copy diff --git a/README.md b/README.md index 3ccf3556..ec25d1fd 100644 --- a/README.md +++ b/README.md @@ -114,9 +114,9 @@ $scores = $estimator->scores(); Then, we can plot the values using our favorite plotting software such as [Tableu](https://public.tableau.com/en-us/s/) or [Excel](https://products.office.com/en-us/excel-a). If all goes well, the value of the loss should go down as the value of the validation score goes up. Due to snapshotting, the epoch at which the validation score is highest and the loss is lowest is the point at which the values of the network parameters are taken. -![Cross Entropy Loss](https://raw.githubusercontent.com/RubixML/CIFAR-10/master/docs/images/training-loss.svg?sanitize=true) +![Cross Entropy Loss](https://raw.githubusercontent.com/RubixML/CIFAR-10/master/docs/images/training-losses.png) -![F1 Score](https://raw.githubusercontent.com/RubixML/CIFAR-10/master/docs/images/validation-score.svg?sanitize=true) +![F1 Score](https://raw.githubusercontent.com/RubixML/CIFAR-10/master/docs/images/validation-scores.png) ### Saving Before exiting the script, save the model so we can run cross validation on it in another process. @@ -242,4 +242,4 @@ Email: akrizhevsky '@' gmail.com >- [1] A. Krizhevsky. (2009). Learning Multiple Layers of Features from Tiny Images. ## License -The code is licensed [MIT](LICENSE.md) and the tutorial is licensed [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). +The code is licensed [MIT](LICENSE) and the tutorial is licensed [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). diff --git a/composer.json b/composer.json index 198806e6..0744b2e1 100644 --- a/composer.json +++ b/composer.json @@ -3,7 +3,7 @@ "type": "project", "description": "Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.", "homepage": "https://github.com/RubixML/CIFAR10", - "license": "Apache-2.0", + "license": "MIT", "keywords": [ "batch norm", "cifar 10", "cifar-10", "classification", "cross validation", "dataset", "data science", "dropout", "elu", "example project", "exponential linear unit", @@ -14,18 +14,14 @@ "authors": [ { "name": "Andrew DalPino", - "email": "me@andrewdalpino.com", - "homepage": "https://andrewdalpino.com", + "homepage": "https://github.com/andrewdalpino", "role": "Lead Engineer" } ], "require": { "php": ">=7.2", "ext-gd": "*", - "rubix/ml": "^0.1.0" - }, - "suggest": { - "ext-tensor": "For faster training and inference" + "rubix/ml": "^0.3.0" }, "scripts": { "train": "@php train.php", diff --git a/docs/images/training-loss.svg b/docs/images/training-loss.svg deleted file mode 100644 index 8e81c9f2..00000000 --- a/docs/images/training-loss.svg +++ /dev/null @@ -1,98 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1 - 2 - 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 11 - 12 - 13 - 0.605 - 0.61 - 0.615 - 0.62 - 0.625 - 0.63 - 0.635 - 0.64 - 0.645 - 0.65 - 0.655 - Training Loss - Rubix ML Multilayer Perceptron - - Column B - Epoch - Cross Entropy - \ No newline at end of file diff --git a/docs/images/training-losses.png b/docs/images/training-losses.png new file mode 100644 index 00000000..00ca0863 Binary files /dev/null and b/docs/images/training-losses.png differ diff --git a/docs/images/validation-score.svg b/docs/images/validation-score.svg deleted file mode 100644 index b9d586b6..00000000 --- a/docs/images/validation-score.svg +++ /dev/null @@ -1,82 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1 - 2 - 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 11 - 12 - 13 - 0 - 0.1 - 0.2 - 0.3 - 0.4 - 0.5 - 0.6 - Validation Score - Rubix ML Multilayer Perceptron - - score - Epoch - F1 Score - \ No newline at end of file diff --git a/docs/images/validation-scores.png b/docs/images/validation-scores.png new file mode 100644 index 00000000..e65296c8 Binary files /dev/null and b/docs/images/validation-scores.png differ