Neural Networks Using Excel: A Small Classification Model Example

[@godoymatos]

Thank you for spreading the knowledge, specially for sharing the data; very helpful!

[@gsp_ram]

Great video, this video is all i need for the fundamentals

[@meghnaprabhu2180]

Wow, such a great explanation!! Thanks

[@rezatadayon1082]

Thank you for the video, It was helpful for me. I have three questions, 1) Are those three columns (Length, Width, actual color )are dataset? and in real project we need to have calculated data somewhere into the database? 2) You added two columns H1 and H2 as hidden layer, But there is no any calculation that use H1 and H2 as parameter , What is the point to have those new columns. Thanks

[@mcanbolat]

Hi yes, 1. This is a supervised model, meaning that you will have a dataset with predictor variables (inputs) and a response variable (output). By using a neural network model, you can capture the non-linear relationships between these variables. 2. If you look at the model carefully, the hidden layers are used in the model (H1 to C and H2 to C weights). They help model the nonlinear relationships between the inputs and the output.

[@AkaExcel]

Mustafa Thank You for your video! We would be very thankful if You could make video on Sales Forecasting in Excel with best method your could use better than Naive forecasting

[@dakshbhatnagar]

💯 Good Job on the explanation

[@SBARZELLINO]

thanks for France for your video but we cannot optimize your course because google sheet informs us that the document is read only and it is therefore impossible to download it

[@mcanbolat]

Hi you just need to go to File-> Make a Copy or Download As Excel.