what is a optimizer in deep learning? what does it actually do? raw thoughts and intuition.

1. 1Read about the basics of deep learning optimizers
2. 2Understand the role of optimizers in training neural networks
3. 3Explore different types of optimizers such as SGD and Adam
4. 4Apply optimizers to your own deep learning projects
5. 5Compare the performance of different optimizers on your models

Data scientists and machine learning engineers can benefit from understanding optimizers to improve their model's performance

💡 Optimizers play a crucial role in training neural networks by adjusting model parameters to minimize loss

Discover the role of optimizers in deep learning!