Weather Forecasting with LSTMs: Predicting Temperatures Using Time Series Data скачать в хорошем качестве

Weather Forecasting with LSTMs: Predicting Temperatures Using Time Series Data

This video demonstrates how to implement a Long Short-Term Memory (LSTM) network for weather prediction using multivariate time series data. It covers data preprocessing, feature selection, normalization, and structuring sequences for training. The LSTM model is built step-by-step, incorporating multiple layers and dropout for improved performance. The video also explores evaluating model accuracy, visualizing predictions, and extending the model to forecast multiple future days. Experience the full course and access all materials completely free of charge on the NFDI4Earth Educational Portal. Start learning (Coming Soon): https://edutrain.nfdi4earth.de