A from-scratch test of gated recurrence. The signal is wiring the forget/input/output gates and candidate correctly, separating cell state from hidden state, and explaining why the additive cell path fixes vanishing gradients. Here is the implementation.
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Implement an LSTM cell from scratch: the four gates, the cell state, and why it beats a vanilla RNN.
A from-scratch test of gated recurrence. The signal is wiring the forget/input/output gates and candidate correctly, separating cell state from hidden state, and explaining why the additive cell path fixes vanishing gradients. Here is the implementation.
Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.
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Next in this trackImplement the AdamW optimizer from scratch and explain how decoupled weight decay differs from Adam.Next in this trackImplement learning-rate schedulers from scratch: step decay, exponential decay, and cosine annealing.Next in this trackBuild a tiny autograd engine from scratch: a scalar Value with backprop over a computation graph.
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