Deep Learning with Yacine on MSN
Backpropagation with automatic differentiation from scratch in Python
Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch. #Backpropagation #Python #DeepLearning ...
Deep Learning with Yacine on MSN
Learn backpropagation derivation step by step – neural networks made easy
Master the derivation of backpropagation with a clear, step-by-step explanation! Understand how neural networks compute ...
Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.
Nobel Prize-winning computer scientist Geoffrey Hinton, known as the ‘godfather of artificial intelligence’, agrees with ...
A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...
By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...
Abstract: Artificial intelligence has proliferated across numerous fields of study as a result of its rapid and accurate response times. Its application in fluid dynamics for optimization and ...
Abstract: An advanced digital backpropagation (ADBP) algorithm is proposed to compensate fiber nonlinearities in subcarrier-multiplexing (SCM) systems. We derive the analytical expression and describe ...
This is the official code repository for the paper "Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation". GreenTrainer adaptively selects the trainable tensors for ...
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