What are the Challenges of Using Backpropagation in Toxicology?
One of the main challenges is the need for large and diverse datasets to train the models effectively. Additionally, the complexity of toxicological data, which often involves multiple variables and intricate interactions, can make it difficult to achieve high accuracy. Another challenge is the potential for overfitting, where the model performs well on training data but poorly on new, unseen data.