When discussing neural networks, most beginning textbooks create brain analogies. I can define the new neural networks simply as a mathematical function that translates a certain entry to the desired performance without going into brain analogies.

You may note that the weights W and biases b are the only variables in the equation above affecting the output of a given value. The strength of predictions naturally establishes the correct values for weights and biases. The weight and bias adjustment procedure of the input data is known as neural network training.

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How to build your own Neural Network from scratch in Python
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