midKeras
What is a convolutional layer in Keras?
Updated May 16, 2026
Short answer
Conv2D extracts spatial features from images.
Deep explanation
It applies filters over input images to detect edges, textures, and patterns.
Real-world example
Used in face recognition systems.
Common mistakes
- Not adjusting input shape correctly.
Follow-up questions
- What are kernels?
- Why pooling is used?