Loss Functions and Their Use In Neural Networks

Overview of loss functions and their implementations

Loss functions are one of the most important aspects of neural networks, as they (along with the optimization functions) are directly responsible for fitting the model to the given training data.

This article will dive into how loss functions are used in neural networks, different types of loss functions, writing custom loss functions in TensorFlow, and practical implementations of loss functions to process image and video training …

data science loss loss-function machine learning networks neural networks tensorflow