2 answers)?

Which of these numbers are adjusted by a neural network as it learns from a training dataset (select

2 answers)?
A . Weights
B . Biases
C . Continuous features
D . Input values

Answer: AB

Explanation:

A neural network is a simple mechanism that’s implemented with basic math. The only difference between the traditional programming model and a neural network is that you let the computer determine the parameters (weights and bias) by learning from training datasets.

Reference: https://cloud.google.com/blog/big-data/2016/07/understanding-neural-networks-with-tensorflow-playground