You are working on a computer vision project where you need to develop an AI system to recognize and localize objects in images. You are required to find a computer vision dataset containing images of various objects from different perspectives and backgrounds. Your task is applying Convolutional Neural Networks $($CNN$)$for image recognition.

Dataset Description:

Choose an image dataset suitable for image classification. Consider datasets like CIFAR$-10,$MNIST$,$ or any relevant dataset for your application.

a$)$Architecture Design: $($Total: $15$marks$)$

$$Design a CNN architecture for image recognition. Specify the number of convolutional layers, pooling layers, and fully connected layers.

$$Justify your design choices based on the nature of the dataset and the complexity of the classification task.

b$)$Implementation: $($Total: $30$marks$)$

Implement $(25$marks$)$

$$the designed CNN model using a deep learning framework of your choice $($e$.$g$.,$TensorFlow$,$ PyTorch$).$

$$Include code snippets demonstrating the model architecture, layer configurations, and any necessary preprocessing steps.

Code Documentation: $(5$marks$)$

$$Provide clear comments and documentation in your code to explain key sections, functions, and parameters.

c$)$Training and Evaluation: $($Total: $40$marks$)$

Training the CNN Model: $(20$marks$)$

$$Train the CNN model on the training set. Specify the number of epochs, batch size, and any relevant hyperparameters.

$$Include code snippets illustrating the training process.

Evaluation and Metrics: $(20$marks$)$

$$Evaluate the trained CNN model on the testing set.

$$Use appropriate evaluation metrics $($e$.$g$.,$accuracy$,$ precision, recall$)$to assess the model's performance.

$$Provide visualizations such as confusion matrices to enhance result interpretation.

d$)$Conclusion: $($Total: $15$marks$)$

$$Submit a concise report summarizing your approach, challenges faced, and key findings. Include visualizations and explanations of the evaluation metrics.

$$Provide a brief justification for your choice.

Note : Provide me every picture and code or Give me instructions how to make the photos or attach the photos, Overall everything should be in detailed so I can easily implement them