Image Detection

Overview

In this project, Multiclass classification model of images built on Artificial Neural Network, utilizing Transfer Learning. Accuracy > 99% achieved through retraining a pre-trained network (MobileNetV2)

Name		Name	Last commit message	Last commit date
.ipynb_checkpoints		.ipynb_checkpoints
test_images		test_images
train_images		train_images
tuning_results		tuning_results
.gitignore		.gitignore
README.md		README.md
image_classification_final.ipynb		image_classification_final.ipynb
requirements.txt		requirements.txt

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