Neural Networks, Deep Learning, Data Science, Algorithmic Trading, Cryptocurrency Investment.
model_tcn.fit(X_train, y_train_one_hot, epochs=20, batch_size=32, validation_split=0.2, verbose=1, class_weight=class_weights): This line trains the model on the training data (X_train) and corresponding labels (y_train_one_hot) using mini-batch gradient descent, with specified training parameters