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Animal Species Classification using CNN
Our project focuses on leveraging Convolutional Neural Networks (CNNs) to classify animal species from images.
Created on 9th March 2024
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Animal Species Classification using CNN
Our project focuses on leveraging Convolutional Neural Networks (CNNs) to classify animal species from images.
The problem Animal Species Classification using CNN solves
Our solution involves developing a CNN-based model capable of automatically classifying
animal species from images with high accuracy. By leveraging deep learning techniques, our
model can learn and recognize complex patterns and features in images, enabling it to make
accurate predictions about the species depicted
Challenges we ran into
Bug/Hurdle Encountered: Importing ResNet152V2 from TensorFlow.keras.applications
During the development phase, a significant hurdle arose when attempting to import the ResNet152V2 architecture from TensorFlow.keras.applications. Unexpected code errors surfaced, impeding progress and causing uncertainty about the successful integration of this crucial pre-trained model.
Tracks Applied (1)
AI for Social Good
Technologies used
Discussion
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