Add Weights And Bias

Together, weights and biases are the parameters of a neural network that are learned during the training process to optimize the performance of the model. The goal is to find the optimal set of weights and biases that minimize the error between the predicted output and the actual output.

• Understanding Neural Networks: What is weight and bias?
• The Bias-Variance Tradeoff
• Weight and Bias
• Integrate Weights & Biases with Keras
• Bias, Weight Initialization, and Trainable Parameters in Neural Networks and Deep Learning