How do I start a deep learning project?

How do I start a deep learning project?

Starting a deep learning project involves several key steps. First, define your problem clearly. What do you want to achieve?

I want to classify images of cats and dogs.

Great! Next, you'll need to gather a dataset. You can use existing datasets like Kaggle's Cats vs Dogs or create your own.

What tools should I use for this project?

You can use frameworks like TensorFlow or PyTorch for building your models. They have extensive documentation and community support.

How do I evaluate the model's performance?

You can evaluate your model using metrics like accuracy, precision, and recall. It's also helpful to visualize the results with confusion matrices.