Helpful TensorFlow Tutorials
September 21, 2026 · DeepAdvisors Team
Retrieval gets you 500 candidates; ranking decides what the user actually sees. Build a listwise ranker on TensorFlow with grouped features, NDCG-aligned losses, position-bias correction, offline/online evaluation, and a SavedModel that scores a whole list in one call.
Read moreSeptember 18, 2026 · DeepAdvisors Team
A practical test pyramid for Keras 3 and TensorFlow projects: unit tests for custom layers, data and schema checks, golden-file contract tests on the SavedModel signature, one-step training smoke tests, and nightly metric-regression gates in CI.
Read moreSeptember 17, 2026 · DeepAdvisors Team
Stop hand-tuning learning rates. Define a KerasTuner search space, choose between Random Search, Hyperband, and Bayesian optimisation, distribute the sweep across GPUs and spot workers, and commit the winning hyperparameters as a reproducible pipeline artefact.
Read moreSeptember 16, 2026 · DeepAdvisors Team
Boxes and masks, not just labels: format your detection data safely, fine-tune a KerasHub detector, use promptable segmentation to pre-label masks, pick an operating point a business can act on, and export to TF Serving or LiteRT.
Read moreSeptember 15, 2026 · DeepAdvisors Team
Cut serving cost by training a smaller model to imitate a bigger one: a Keras 3 Distiller with temperature-scaled soft targets, teacher-logit caching in tf.data, sequence-level distillation of a Gemma teacher, and how to evaluate the student honestly.
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