Computer scienceData scienceMachine learningIntroduction to deep learning

Basics of neural network architecture

Theory

Calculating the prediction

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For this neural network, calculate the prediction for the output layer. Note that there is no bias and no activation function.

A synthetic neural network with 5, -1, 3, 2 as inputs and 0.3, -0.2, 0.7, 1.2 as parameters

In general, the output will be calculated as

ni=∑j=0nωi,j⋅aj+bin_i = \sum\limits_{j=0}^n \omega_{i, j}\cdot a_j + b_i
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