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What is 1 Neural Networks Basics about?

The document provides an overview of logistic regression in machine learning, detailing the sigmoid function, cost function, and loss function used to train parameters. It explains the gradient descent method for optimizing these parameters and introduces the concept of derivatives in the context of logistic regression. Additionally, it discusses the computation graph and how to calculate derivatives for updating weights and biases during training.

Author

baharcoskun19

Language

EN