Jamal Pasha·1d agoP:13- RNNs Explained Simply: Types, Backpropagation Through Time, and ProblemsA beginner-friendly guide to how Recurrent Neural Networks work, where they shine, and where they struggle.
Learner·Nov 3LSTM and GRU for NLP: Handling Long-Term ContextHello everyone 👋A response icon1A response icon1
Learner·Nov 3NLP with RNNs: Learning from SequencesHello everyone 👋A response icon1A response icon1
Aryan Saini·Oct 28Tversky similarity inside recurrent cellsA while back I read the Tversky Neural Networks paper and thought can we add this to RNNs?A response icon1A response icon1
Sooriyakumar·Oct 18Recurrent Neural Networks Explained: From Zero to Expert (with PyTorch and TensorFlow Code)How neural networks learned to remember, and why that idea still matters in the age of Transformers.
Arko Sengupta·Oct 11Gated Recurrent Units (GRU): A Comprehensive GuideExplore detailed Gated Recurrent Units (GRU)
Arko Sengupta·Oct 11Bidirectional Long Short-Term Memory (Bi-LSTM): A Comprehensive GuideExplore detailed Bidirectional Long Short-Term Memory (Bi-LSTM)A response icon1A response icon1
Arko Sengupta·Oct 7Long Short-Term Memory (LSTM): A Comprehensive GuideExplore detailed Long Short-Term Memory (LSTM)
Arko Sengupta·Oct 5Backpropagation in RNN (BPTT): A Comprehensive GuideExplore detailed Backpropagation in RNN (BPTT)
