Can anyone suggest optimization technique resources, explained like deepelarning.ai course, not theoretical or derivations rather practical approach implementations and explanations of the algorithms
Just to clarify, are you saying that you’ve already taken some of the courses here and are looking for additional resources? Or are you asking which courses here would be good choices to learn about how to apply optimization techniques?
If the question is the latter, then the first recommendation would be to take the Deep Learning Specialization (DLS). Optimization techniques are one of the major topics in Course 2 of that series. Of course it would be recommended to take DLS Course 1 first, even if you have some experience with Neural Networks already, just to make sure you are familiar with Professor Ng’s notational scheme and how he presents things. In DLS C2, you see how to apply those techniques to Fully Connected Feed Forward nets (FCNs), and then in C4 you see how to apply those techniques to Convolutional Networks (CNNs) and in C5 to Sequence Models (RNNs).