Deep Learning with TensorFlow for Regression

In the previous chapter, we began our journey of exploring deep learning models for regression tasks. We trained and evaluated a PyTorch model and used it to predict Tesla's daily stock prices. In this chapter, we demonstrate how to replicate that same process with TensorFlow. We'll use the same dataset to directly compare the performance of models in both frameworks. Additionally, we will leverage the distributed computing capabilities of PySpark to preprocess this dataset.