This project implements a Next Word Predictor built with Recurrent Neural Networks (RNNs) using PyTorch. The model is trained on a custom dataset of 100 unique Question-Answer pairs (QA dataset) in ...
🐙 PyTorch RNN-based Q&A system predicts answers from questions using a custom QA dataset. It tokenizes text, builds vocab, and uses embedding, RNN, and linear layers. - Slush1004/Pytorch-RNN-create-Q ...
Deep Learning beginners quickly learn that Recurrent Neural Network (RNNs) are for building models for sequential data tasks (such as language translation) whereas Convolutional Neural Networks (CNNs) ...
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