Keras Assessment

Online assessment to evaluate advanced Keras development and optimization skills

This assessment helps employers assess a candidate’s proficiency in developing, tuning, and deploying models using Keras within TensorFlow. It focuses on advanced-level topics such as graph execution, input pipeline optimization, mixed-precision training, and model serialization. The test also covers practical skills in TFLite conversion, reproducibility, and inference acceleration. Designed for AI engineers and deep learning practitioners, this assessment identifies candidates who can deliver optimized, production-ready Keras solutions. With instant results and detailed reports, it simplifies identifying top-performing professionals.

Sample Question

You are leading a hospital analytics project where a Keras CNN classifies chest X-rays into multiple disease categories. In staging, inference latency has doubled, and CPU utilization remains close to 100%, even though the same model performs well locally. Profiling reveals that execution is running in eager mode, and several key operations are not being fused by TensorFlow. Management expects an immediate performance fix without modifying the network architecture or retraining the model.