Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
prioritize them during training. 3. Model Building Function (build_transformer_model): Takes input_shape (number of features and time steps), units (number of hidden neurons), dropout rate, and lr (learning rate) as arguments. Defines the model architecture: Input: Takes data of the specified