Helpful TensorFlow Tutorials
October 12, 2026 · DeepAdvisors Team
Turn raw Keras 3 scores into trustworthy probabilities: measure ECE, fit temperature scaling into the SavedModel, add split conformal prediction sets with real coverage guarantees, build a risk-coverage abstention table, and monitor it all in production.
Read moreOctober 5, 2026 · DeepAdvisors Team
Take a SavedModel from one always-on container to a Kubernetes deployment that autoscales on concurrency, scales GPU endpoints to zero safely, canaries new versions with one field, and costs what it should.
Read moreSeptember 28, 2026 · DeepAdvisors Team
Label fewer examples for the same accuracy: build an active learning loop on Keras 3 with MC dropout, margin/entropy/BALD acquisition, core-set batch diversity, and an honest label-efficiency curve against a random baseline.
Read moreSeptember 21, 2026 · DeepAdvisors Team
Third-party checkpoints are executable artifacts. A practical guide to Keras 3 safe_mode, auditing .keras archives without loading them, scanning with modelscan, signing with the model_signing library, and failing closed in CI and serving.
Read moreSeptember 21, 2026 · DeepAdvisors Team
Supervised fine-tuning teaches a model what good answers look like; it cannot teach it which of two plausible answers is better. A practical Keras 3 walkthrough of Direct Preference Optimization on Gemma: dataset shape, the DPO loss, a LoRA training loop, the metrics that matter, and the IPO/KTO/ORPO variants.
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