3 ms·
Also, If you look at each layer as just a vector, how the heck do you describe that so that it's easy to understand? I think this might be perpetually difficul
by burtonator 4y ago
Also, If you look at each layer as just a vector, how the heck do you describe that so that it's easy to understand?
I think this might be perpetually difficult to diagnose.
Maybe there could be a tool that could show WHY a decision was made but not sure that you could identify bias in deep networks before hand.
- ewuhic 4y agoIsn't the "why" the weights of the model themselves?
- sdenton4 4y agoPeople want brief explanations of reasons for outputs, and a 10gb pile of weights isn't really what they mean. Human explanations meanwhile are often invented to fit evidence to personal biases and beliefs, and are thus typically deeply flawed. But we're more ok with humans making suspect decisions than ML, in many cases.