Practical overview of optimization of Deep Networks
Practical overview of optimization of Deep Networks Practical overview of optimization of Deep Networks Carl Åkerlindh December 15, 2016 Carl Åkerlindh | DL Training 2 / 19 Gradient descent optimization Backpropagation Batch gradient descent Online gradient descent Mini-batch gradient descent Challenges Gradient descent additions Momentum Nestrov accelerated gradient Adagrad Other SGD variants Add
https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/DeepLearning/2016/dl_optimization.pdf - 2026-04-28
