Fundamentals of Neural Networks - Lab 2 - Sequence to Sequence Stock Candlestick Forecast

The video tutorial covers the basics of neural networks, focusing on feedforward and recurrent architectures, particularly LSTMs. It explains sequence prediction, backpropagation, and loss functions. The tutorial guides viewers through data preparation, splitting data into training and testing sets, and designing a model architecture using Keras. It also covers training the model, evaluating its performance, and tuning it for better results. The tutorial concludes with a demonstration of the model's predictions and discusses areas for improvement.

What new insight or understanding did you gain from this video?