Expediting Convergence via Polling Optimisation for Gradient Descent in Neural Networks
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Updated
Mar 17, 2024 - Batchfile
Expediting Convergence via Polling Optimisation for Gradient Descent in Neural Networks
This Rock Paper Scissors AI project combines machine learning and data science techniques to create a highly effective player. It uses an LSTM neural network for move prediction, online learning for real-time adaptation, and pattern recognition. The AI employs opponent modeling, ensemble decision-making, and dynamic learning rates .
Metaphor detection using cnn lstm
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