Deep Learning for Time Series Analysis: A Keras Tutorial
Briefly

Building a deep learning model with Keras 3.0 simplifies the process, requiring only completing a few steps for data collection, model compilation, and training.
Keras is an excellent library for deep learning model creation, with the straightforward installation process and the need to choose between backend frameworks like JAX, PyTorch, or TensorFlow.
For data collection, large weather datasets are ideal for time series analysis due to their pattern consistency and availability, but synthetic datasets can be used if necessary.
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