This is relative simple but a bit hard to explain since you haven't given us the way you represent your ellipse. There are so many ways to do it.. Anyway, the general principle goes like this: You can't calculate the axis aligned boundary box directly. You can however calcula...
can you tell me please, why you give a decision on that looping, just like "if y < nrow", " if ~= 1", and so on.If
, . . . x n > . in my practical application, i have no expression for f f whatsoever, all i can do is given a vector x x , calculate f ( x ) f ( x ) via a deterministic experiment. how do i go about calculating the gradient? what specific type of gradient descent would yo...
How do you calculate the time when you have the acceleration and velocity? Acceleration: The acceleration of an object can be defined in terms of its mass and the external force applied to it. It is defined according to Newton's second law of motion. The acceleration is t...
The Keras deep learning API model is very limited in terms of the metrics that you can use to report the model performance. I am frequently asked questions, such as: How can I calculate the precision and recall for my model? And: How can I calculate the F1-score or confusion matri...
I want to obtain the gradient of each parameter in the last epoch of training. Is there a way to do so in Keras? Thanks, Ming philipperemy commented Apr 8, 2016 You can have the outputs of a particular layer by: http://keras.io/faq/#how-can-i-visualize-the-output-of-an-intermed...
How do you calculate the percentage grade of a slope? Slope can be calculated as a percentage which is calculated in much the same way as the gradient. Convert the rise and run to the same units and then divide the rise by the run. Multiply this number by 100 and you have the percent...
I have no idea how to handle the following Riemannian metrics, how to find the estimates for the bound and how to actually calculate with $g$ and $d$. Do I need to use the matrix representation? Or how do I multiply, divide etc with line elements metrics? Here is what I...
Then we obtain the gradient: gradf=2rcos2ϕ∂∂r−2r2sinϕcosϕ∂∂ϕgradf=2r(cos2ϕ∂∂r−rsinϕcosϕ∂∂ϕ)
My main question is; is averaging the loss the same thing as averaging the gradient and how do i accumulate my loss over mini batches then calculate my gradient? I have been trying to implement policy gradient in Tensorflow and run into the issue where i can not feed all my game ...