Flower Recognition using Machine Learning

Vatsal abhani

Software Engineer
coding
Executed image recognition model using three distinct algorithms: Inception v3, ResNet50, and Sequential CNN.
Conducted comprehensive analysis of model performance, considering factors such as the number of epochs, time efficiency, and accuracy.
Conclusively determined that Sequential CNN exhibits superior accuracy in the identification of flowers.
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