Neural Networks, Deep Learning, Data Science, Algorithmic Trading, Cryptocurrency Investment.
Model(inputs=inputs, outputs=outputs) optimizer = Adam(learning_rate=lr) model.compile(optimizer=optimizer, loss='categorical_crossentropy', metrics=[Precision(), 'accuracy', Recall()]) return model # Convert y_train to one-hot encoded format y_train_one_hot = to_categorical(y_train, num_classes=3)