Mohammad Atif·Oct 27LSTM Explained: From Basic Concepts to a Complete Practical ProjectLSTM (Long Short-Term Memory)
Shiva·Oct 25Don’t Memorize, Look It Up: Attention ExplainedPrerequisites of my Series that goes deep into about Compter System Optimisations in ML
Shiva·Oct 23Giving Networks a Notebook: LSTMs ExplainedPrerequisite of my Series that goes deep into about Compter System Optimisations in ML
InThe Thoughtful EngineerbyKobi Toueg·Oct 23AI/ML Under the Hood — Part 31: Encoders and Decoders — Read, Remember, GenerateHow AI learns to translate text: encoding a sentence, generating a translation, and training both parts together.
Kevin Campuzano·Oct 17DeepLoad: anticipando el consumo eléctrico de un campus con redes neuronalesUsamos LSTM y 5 meses de datos de 48 transformadores para predecir la demanda eléctrica. Esto es lo que funcionó y lo que no.
Iqra Mahmood·Oct 8Long Short-Term Memory (LSTM) Model and Its Implementation Using PythonWhen working with sequential data like stock prices, speech signals, weather patterns, or natural language text, standard feedforward and…
Ravi Kumar·Oct 4Memory Is Not Retrieval: Building a Programmable Memory Runtime for AI AgentsAgents do not just need access to information. They need state. Membrane is an open-source attempt to give them a memory control plane. use…A response icon1A response icon1
Sanika Tare·Oct 3LSTM Explained: How Neural Networks Remember Long-Term InformationForget gates, input gates, output gates and a “memory highway”: the full, friendly guide to the idea that fixed the biggest weakness of…A response icon1A response icon1
Sanika Tare·Oct 2RNNs Explained: How Neural Networks Understand Sequential DataCNNs learned to look at images. RNNs learn to read, listen and follow along.A response icon1A response icon1
