#LSTM

Articles about LSTM — exploring patterns, best practices, and real-world implementations in production systems.

1 post tagged with lstm. ← All posts

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Pratik Dhanave · ·7 min read

Deep Learning for Time Series

Deep learning conquered images and language, and it's made real inroads into forecasting — RNNs, then transformers, then specialized foundation models for time series. But forecasting is also where deep learning's dominance is most contested, because simple classical methods keep holding their own. This post covers the deep-learning approaches to time series, what they're genuinely good for, and the honest, humbling reality of when they actually beat the simpler alternatives.

Deep learning made inroads into forecasting — RNNs/LSTMs, temporal CNNs, transformers, and emerging time-series foundation models — and genuinely shines with many long related series and complex multivariate dynamics. But the humbling reality: for individual modest-length series, classical methods and simple ML often match or beat it. Not a default.

#Time Series#Deep Learning#LSTM#Forecasting#Machine Learning

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.