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In this project, I used Convolutional Neural Networks (CNNs) and Matplotlib to analyze the Stanford car dataset from Kaggle. The model differentiates between car images taken from the front, back, and side angles. Results are visualized to clearly display how well the model classifies each perspective.

Here is the link for dataset https://www.kaggle.com/datasets/jessicali9530/stanford-cars-dataset

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CNN-Classifier that uses a Convolutional Neural Network to analyze the Stanford Cars dataset from Kaggle, classifying images by vehicle viewpoint. A practical example of deep learning for image classification using TensorFlow/Keras.

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