Ms Excel Full [portable] — Build Neural Network With

Building a neural network from scratch in Microsoft Excel is possible using core spreadsheet formulas for Forward Propagation Backpropagation Towards AI The architecture for a simple network consists of an Input Layer (your features), a Hidden Layer (where features are combined), and an Output Layer (your final prediction). Towards Data Science 1. Initialize Weights and Biases

• Hidden to Output Layer: =Hidden_Output_1*W2_1+Hidden_Output_2*W2_2+B2
• Activation (Sigmoid): =1/(1+EXP(-(Output_Input)))

2. Hidden Bias (b1)

• It started at 0.53.
• It drifted to 0.48.
• Then 0.21.
• Then, miraculously, it began to hover near 0.00 for the (0,0) inputs.

• Input Layer (The Data): This is simply your raw data columns (e.g., Sepal Length, Petal Width for the Iris dataset).
• Hidden Layers (The Complexity): Unlike a simple regression, a "full" build features at least one hidden layer.