Deep Learning Essentials — (3) Convolutional Neural Networks (CNNs)

1. 1Build a basic CNN model using TensorFlow or PyTorch
2. 2Apply convolutional and pooling layers to extract image features
3. 3Configure the model to classify images into different categories
4. 4Test the model on a validation dataset to evaluate its performance
5. 5Run the model on a test dataset to make predictions

AI engineers and data scientists on a team can benefit from understanding CNNs to develop and improve image classification models, while product managers can use this knowledge to inform product decisions

💡 CNNs are a type of neural network designed to process data with grid-like topology, such as images

💡 Learn CNNs for image classification!