jeremyjordan

def soft_dice_loss(y_true, y_pred, epsilon=1e-6): 
    ''' 
    Soft dice loss calculation for arbitrary batch size, number of classes, and number of spatial dimensions.
    Assumes the `channels_last` format.
  
    # Arguments
        y_true: b x X x Y( x Z...) x c One hot encoding of ground truth
        y_pred: b x X x Y( x Z...) x c Network output, must sum to 1 over c channel (such as after softmax) 
        epsilon: Used for numerical stability to avoid divide by zero errors
    

xjia1

Princeton CS Courses

http://www.cs.princeton.edu/academics/catalog

Undergraduate Courses

• COS314 - Introduction to Computer Music
• COS318 - Operating Systems
• COS320 - Compiling Techniques
• COS326 - Functional Programming