├── .ipynb_checkpoints ├── D3-checkpoint.ipynb └── Transfer Learning & Bottlenecking-checkpoint.ipynb ├── D3.ipynb ├── Transfer Learning & Bottlenecking.ipynb ├── d3 └── index.html ├── inception_bottleneck.h5 ├── inception_bottleneck.ipynb ├── inception_bottleneck_100.h5 ├── inception_bottleneck_weights.h5 ├── inception_train_bottleneck.p ├── inception_validation_bottleneck.p ├── keras_10.h5 ├── keras_30.h5 ├── model_histories.py ├── presentation ├── 03-gpu_instance.png ├── 03-nano_working.png ├── 03-security_group.png ├── 03-working_terminal.png ├── LeNet_TF.png ├── cnn_diagram.png ├── drakelovehate.jpg ├── g2_instance.png ├── idgaf.jpg ├── keras_cnn.png ├── keras_description.png ├── pacha.jpg ├── scp.png ├── sponge.jpg ├── val_acc.png ├── val_acc_leg.png ├── val_loss.png └── val_loss_leg.png ├── readme.md ├── resnet_bottleneck_weights.h5 ├── resnet_train_bottleneck.p ├── resnet_validate_bottleneck.p ├── vgg_bottleneck_weights.h5 ├── vgg_train_bottleneck.p └── 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