Building a deep learning model with Keras 3.0 is relatively straightforward. While data collection, model compilation, and training can be time-consuming, this open-source library simplifies the process.
You need to install a backend framework - JAX, PyTorch, or TensorFlow - to use Keras. If you decide to use TensorFlow, you must install it first until version 2.16 is released.
Typically, weather datasets are ideal for time series analysis due to their patterns, minimal null values, and availability. AI-generated synthetic datasets are a viable alternative.
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