user@devops:~$ cat README.md
Functional API
# Description
Project exploring Keras Functional API to build neural network architectures beyond the Sequential model. Implements multi-input models (image + metadata), multi-output models (classification + regression), star architectures (single input feeding multiple branches), shared layer models (same weights in different graph parts), skip connections (residual connections), and separate branch models that merge at concatenation layers. Includes architecture visualization with plot_model and performance comparison against equivalent Sequential models.
# Key features
$ Multi-input models: image + tabular data combined
$ Multi-output models: simultaneous classification and regression
$ Star and graph architectures with shared layers
$ Residual connections with Add and Concatenate layers
$ Architecture visualization with plot_model
$ Functional vs Sequential comparison on same tasks
# Gallery
# Technologies used
