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GitHub / boxreb14 / dog-project
Udacity Artificial Intelligence Nanodegree CNN Project. Created a CNN for breed classification of dogs by transfer learning using bottleneck features of four pre-trained models. Implemented the Haar cascade classifier for human face detection.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/boxreb14%2Fdog-project
Stars: 1
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 1000 KB
Dependencies:
10
Created: over 6 years ago
Updated: 5 months ago
Last pushed: over 6 years ago
Last synced: 5 months ago
Topics: convolutional-neural-networks, dog-breed, haar-cascade-classifier, inception, keras, resnet-50, transfer-learning, vgg16, vgg19
Files
Dependencies
- h5py ==2.6.0
- keras ==2.0.2
- matplotlib ==2.0.0
- numpy ==1.12.0
- opencv-python ==3.2.0.6
- pillow ==4.0.0
- scikit-learn ==0.18.1
- scipy ==0.18.1
- tensorflow ==1.0.0
- tqdm ==4.11.2