Deep Learning - Recurrent Neural Networks with TensorFlow - Stock Return Predictions Using LSTMs (Part 2)

The video tutorial explains the preference for predicting stock returns over stock prices, using a formula similar to calculating discounts. It details data processing with Pandas, including shifting and subtracting closing prices to calculate returns. The tutorial covers normalizing returns with a standard scaler and training an RNN model, highlighting challenges like overfitting. It concludes with model evaluation through one-step and multi-step forecasts, noting the model's limitations in learning effectively.

Describe the process of calculating returns as mentioned in the text.

Evaluate responses using AI:

OFF

What challenges does the model face during training according to the text?

Evaluate responses using AI:

OFF

What does the text suggest about the results of the multi-step forecast?

Evaluate responses using AI:

OFF