Prompt

I am learning about machine learning and neural networks, and I want to build a convolutional neural network (CNN) from scratch to classify images of dogs and cats. Please provide the following: 1. Recommended datasets for training and testing, including links to sources like Kaggle or ImageNet. 2. A step-by-step guide on how to implement the CNN using Python and libraries such as TensorFlow or PyTorch. 3. Tips for data preprocessing, including image resizing and normalization. 4. Common pitfalls to avoid when training the model, such as overfitting and underfitting, along with strategies to mitigate them. 5. Evaluation metrics to assess model performance, such as accuracy, precision, and recall. Additionally, if I encounter issues like imbalanced classes or low accuracy, please suggest troubleshooting steps.