TensorFlow Playground makes overfitting and model capacity visible as you tweak layers live
techNmak · x · 2026-09-04
A recommendation of TensorFlow Playground: change the dataset, layers, neurons, activation, learning rate and regularization, then watch the decision boundary evolve as the network trains — making underfitting, overfitting and model capacity visible.
Also featured: Jay Alammar's The Illustrated Transformer, still one of the cleanest Transformer explanations, covering embeddings, Q/K/V, multi-head attention and autoregressive generation.
Related event: Stop learning AI from static diagrams: a curated visual learning roadmap(13 posts)→
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