Deep Learning - Recurrent Neural Networks with TensorFlow - Stock Return Predictions Using LSTMs (Part 3)

The video tutorial discusses the process of building models for stock price prediction, focusing on binary classification. It highlights the challenges of using historical stock prices for prediction due to real-world influences. The tutorial covers data preparation, normalization, and the training process, emphasizing the issue of overfitting. It concludes by questioning the reliability of stock price forecasts based solely on historical data and suggests considering external factors.

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