what are the different types of optimizers?
- 1 Answers
- 1377 Views
- I also Faced
- E-Mail Answers
Answer / Shubham Shukla
In machine learning, there are several types of optimizers used to minimize the error or loss function during training. Some common optimizers include Gradient Descent (Batch and Stochastic), Adam (Adaptive Moment Estimation), RMSProp (Root Mean Square Propagation), and Adagrad (Adaptive Gradient Algorithm).
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain how do I take good portraits?
Can I load css style sheets dynamically at runtime?
How do you use a repeater in actionscript?
Can I dynamically instantiate a webservice or httpservice in actionscript?
What is vocoder?
Explain do you shoot raw or jpeg?
How can I view video files on the web site?
What is nyquist rule?
Write a C language program to perform CCITT group 3 compression. If possible, scan some images and use your program to compress the images. What kind of compression did you achieve?
What is the difference in movieclip and sprite?
What are the methods called when a ui component is initialized?
How do I get access to the j2ee session from my remoteobjects?
3D Animation 
