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GitHub / SubhangiSati / Classification-of-Venomous-and-non-venomous-snakes
This repository consists of classification of snakes species. It shows the whole progress and model used to achieve final accuracy. The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet. The final accuracy was achieved using transfer learning with model MobileNetV2
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 814 KB
Dependencies:
0
Created: 4 months ago
Updated: 4 months ago
Last pushed: 3 months ago
Last synced: 3 months ago
Topics: binary-image-classification, classification, cnn-classification, cnn-keras, computer-vision, convolutional-neural-network, cv2, data-science, deep-neural-networks, keras-tensorflow, matplotlib, mobilenetv2, neural-network, numpy-library, pandas-dataframe, tensorflow, transfer-learning
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