Helpful TensorFlow Tutorials
September 14, 2026 · DeepAdvisors Team
Build a self-hosted tool-calling agent on the TensorFlow stack: a schema-driven tool registry, constrained decoding that makes invalid JSON impossible, a bounded execution loop, and an eval harness that scores the agent rather than the model.
Read moreSeptember 14, 2026 · DeepAdvisors Team
Build a heterogeneous fraud-detection GNN with TF-GNN end to end: schema design, subgraph sampling with fan-out caps, MtAlbis message passing, imbalance-aware training, time-correct splits, serving, and honest expectations versus a tabular baseline.
Read moreSeptember 14, 2026 · DeepAdvisors Team
Build audio models on the Keras 3 / TensorFlow stack: deterministic 16 kHz decoding, log-mel spectrograms with tf.signal, SpecAugment, a quantizable keyword-spotting CNN, pretrained ASR, false-accepts-per-hour evaluation, and LiteRT export with preprocessing baked into the graph.
Read moreSeptember 11, 2026 · DeepAdvisors Team
Fluent and wrong still scores well on perplexity. Build a frozen eval set, deterministic and model-graded metrics, ShieldGemma safety filtering, CI gates, and post-launch drift monitoring for TensorFlow-stack generative systems.
Read moreSeptember 10, 2026 · DeepAdvisors Team
When a label is not the answer: prompt PaliGemma 2 with KerasHub, LoRA fine-tune it on a few hundred labelled pages, score per-field exact match instead of loss, and serve a VLM without pretending it is a SavedModel classifier.
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