Differentiable convex optimization layers (TF Dev Summit '20)

Convex optimization problems are used to solve many problems in the real world. Until now, it has been difficult to use them in TensorFlow pipelines. This talk presents cvxpylayers, a package that makes it easy to embed convex optimization problems into TensorFlow, letting you tune them using gradient descent. Speaker: Akshay Agrawal - Strategic Partner Development Manager Resource: GitHub → https://goo.gle/3aAn2X4 Watch all TensorFlow Dev Summit 2020 sessions → https://goo.gle/TFDS20 Subscribe to the TensorFlow YouTube channel → https://goo.gle/TensorFlow