Mitigate Bias with MinDiff in TensorFlow Reviews

Nitish K. · Reviewed over 1 year ago

wang c. · Reviewed over 1 year ago

Banke B. · Reviewed over 1 year ago

Po-Yu H. · Reviewed over 1 year ago

POLEPALLY AJAY KUMAR G. · Reviewed over 1 year ago

Revathi R. · Reviewed over 1 year ago

Zubiya S. · Reviewed over 1 year ago

Jaya H. · Reviewed over 1 year ago

KESHAV M. · Reviewed over 1 year ago

家佑 劉. · Reviewed over 1 year ago

冠穎 黃. · Reviewed over 1 year ago

智凱 楊. · Reviewed over 1 year ago

Surbhi K. · Reviewed over 1 year ago

io o. · Reviewed over 1 year ago

Zoe C. · Reviewed over 1 year ago

智凱 楊. · Reviewed over 1 year ago

Abhay kumar S. · Reviewed over 1 year ago

智凱 楊. · Reviewed over 1 year ago

Piyush S. · Reviewed over 1 year ago

vikram m. · Reviewed over 1 year ago

Nikhil R. · Reviewed over 1 year ago

Huang S. · Reviewed over 1 year ago

good lab, new idea to balance error rates during learn progess; what i understood is if you converge early and assume higher convergence, error rates tend to be less predictable

Christian W. · Reviewed over 1 year ago

nice

jayalakshmi t. · Reviewed over 1 year ago

Swastik V. · Reviewed over 1 year ago