The purpose of this project is to build a binary classifier to classify images as ‘damage’ or ‘no_damage’ by using a combination of CNNs and transfer learning.
- Deep Learning
- Data Visualization
- Python
- TensorFlow2
- Pandas, Matplotlib, Numpy
- Basic CNN model
- AlexNet: AlexNet is a deep learning model and it is a variant of the convolutional neural network. This model was proposed by Alex Krizhevsky as his research work.
- VGG16 (Fine tuned as well)
- Resnet50 (also fine tuned and with decaying learning rate)
- MobileNet