Below you will find pages that utilize the taxonomy term “Deep-Learning”
Technical Posts
The Evolution: Beyond Transformers
A practical walkthrough of how the Transformer architecture evolved from encoder-decoder to decoder-only models, why attention’s quadratic scaling became a hard wall, and how Mamba’s state space machines are being absorbed into hybrid architectures that dominate production today.
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The End of the RNN Era & The Query, Key, Value Revolution
A practical walkthrough of why RNNs hit a fundamental wall with sequential processing and long-range dependencies, and how the Query-Key-Value attention mechanism solves both problems in one elegant step.
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Understanding Neural Networks: Weights, Biases, and Activations
This article breaks down the key mathematical concepts behind neural networks, including weights, biases, and activations, with an example of handwritten digit recognition.
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