Further reading

• How to Choose Loss Functions When Training Deep Learning Neural Networks: A very thorough article on how to write a loss function (machinelearningmastery.com/how-to-choose-loss-functions-when-training-deep-learning-neural-networks/)
• How to Avoid Overfitting in Deep Learning Neural Networks: An article on underfitting and overfitting and its solutions (machinelearningmastery.com/introduction-to-regularization-to-reduce-overfitting-and-improve-generalization-error/)
• How to Avoid Exploding Gradients With Gradient Clipping: An article on exploding gradients and how to fix it using gradient clipping (machinelearningmastery.com/how-to-avoid-exploding-gradients-in-neural-networks-with-gradient-clipping/)
• Use Weight Regularization to Reduce Overfitting of Deep Learning Models: An article on weight regularization, which helps reduce overfitting (machinelearningmastery...