This tutorial shows you how to use wrapper functions to construct custom loss functions that take arguments other than y_pred and y_true for Keras in R. See example code for linear exponential error (LINEXE) and weighted least squared error (WLSE).

In this Neural Networks Tutorial, we will talk about Optimizers, Loss Function, and Learning rate in Neural Networks. I will explain what an optimizer is and how it is used in the training process of a neural network.

we are going to discuss the loss functions supported by the Tensorflow keras library with a standalone code usage in Python.

Implementing Neural Networks with Keras and Tensorflow

Keras vs Tensorflow - Learn the differences between Keras and Tensorflow on basis of Ease to use, Fast development,Functionality,flexibility,Performance etc

Developing an advanced neural network model in Tensorflow 2 and Keras