Even if you do not have any prior experience with deep learning, I urge you to come join me, and witness the many wonders of Deep Learning and CNN in particular. Chapters 00:00 - Dog vs Cat Classification Using Convolution Neural Network 01:29 - Tod...
Implement a CNN using PyTorch. Train the model on labeled cat and dog images. Evaluation & Visualization Assess model performance using accuracy, loss curves, and confusion matrix. Display the classification report. Conclusion The Cat or Dog Classifier effectively differentiates between cats and dogs...
Cat vs Dog Image Classifier Compares the accuracy of KNN, HOG/SVM and CNN for classifying an image as cat or dog. Conclusion A CNN is the best approach to this dataset with a 91% accuracy. Neither the KNN or HOG/SVM performed well enough to be considered useable for this dataset as th...
Cat-recognition-train This repository demonstrates how to train a cat vs dog recognition model and export the model to an optimized frozen graph easy for deployment using TensorFlow. If you want to know how to deploy a flask app which recognizes cats/dogs using TensorFlow, please visitcat-recogn...
git clone https://github.com/cokl87/DogBreedClassifier_CNN project-name cd project-name virtualenv venv -p=3.8 source venv/bin/activate pip install -r requirements.txt Then you need to create the database for the webapp with the required tables and schemas. Therefor you need postgres isntall...
Bowtie - A dashboard library for interactive visualizations using flask socketio and react. lime - Lime is about explaining what machine learning classifiers (or models) are doing. It is able to explain any black box classifier, with two or more classes. PyCM - PyCM is a multi-class confus...
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