juniorKeras
What are Keras layers?
Updated May 16, 2026
Short answer
Layers are building blocks of neural networks in Keras.
Deep explanation
Each layer performs transformations on input tensors and has learnable parameters like weights and biases.
Real-world example
Dense layers in tabular data models, Conv2D in image processing.
Common mistakes
- Confusing layers with models.
Follow-up questions
- What is a Dense layer?
- What are convolutional layers?