Thanks. It makes sense. The sigmoid is the activation function of the output "neuron". Unfortunately, matrix algebra here is not as useful as in computer graphics.
No problem. Actually, I personally found that a pretty intuitive understanding of linear algebra & vector calculus makes quite a lot of ML straight forward to approach geometrically.
Comments
Thanks. It makes sense. The sigmoid is the activation function of the output "neuron". Unfortunately, matrix algebra here is not as useful as in computer graphics.
No problem. Actually, I personally found that a pretty intuitive understanding of linear algebra & vector calculus makes quite a lot of ML straight forward to approach geometrically.