Keras Development Services

Keras is a high-level neural network API that runs on TensorFlow, JAX, or PyTorch. It simplifies building and training deep learning models with clean, modular APIs. Use it for rapid prototyping, production models, and research when you want fast iteration and readability.

CNNs for vision, RNNs/LSTMs for sequences, transformers, GANs, and custom architectures. We build classification, regression, segmentation, object detection, NLP, and reinforcement learning models using Keras APIs.

Yes. We use Keras 3 with TensorFlow, JAX, or PyTorch backends. We choose the best backend for your hardware (GPU, TPU) and deployment target. We migrate legacy Keras 2 code to Keras 3 when needed.

We use quantization, pruning, and TensorFlow Lite or ONNX export for mobile and edge. We deploy via TensorFlow Serving, TorchServe, or cloud ML services. We optimize batch size and inference latency for your SLA.

Yes. We implement custom layers, losses, and metrics. We use the Keras Functional API and Model subclassing for complex architectures. We build custom training loops when you need fine-grained control over training dynamics.

We use tf.data, Keras preprocessing layers, and data augmentation. We handle large datasets with streaming and caching. We build pipelines for images, text, tabular, and multimodal data.

MVP models take 2–4 weeks. Production-ready systems with optimization and deployment take 6–12 weeks. Complex custom architectures or research projects may take 2–4 months. We provide phased deliverables and demos.