MaxUp - Data Augmentation Gradient Algorithm in Image Classification

Implementation of MaxUp algorithm in image classification

See Colab: https://colab.research.google.com/drive/1KbSZIuiR9hBY2TVaDFCetFaX_tN--4lO?usp=sharing

Architecture

Sequential = ResNet50V2 + 3 stacked layers:

tf.keras.layers.GlobalAveragePooling2D(),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Dense(10, activation = 'softmax')

Implementation

• Tensorflow 2.0
• Python 3.7
• Colaboratory

Dataset

A subset of Imagenet: Imagenette

Images are cropped to 256 * 256 (pixels)

Results

~95.57% on validation dataset using Categorical Accuracy