Скачать или смотреть Optimizers in Deep Learning Explained

Understand Optimizers in Deep Learning and how they help train AI models efficiently 🚀.
In this video, we’ll cover the basics of gradient descent, the role of the learning rate, and explore some of the most commonly used optimizers in machine learning, PyTorch, and TensorFlow.

If you’re starting your journey in AI/ML, this video will give you a solid foundation to understand how models actually learn and improve.

⏱️ Timecodes:

00:00 – Introduction
00:31 – What are Optimizers in Deep Learning?
01:18 – Gradient Descent Explained
02:49 – Learning Rate & Its Importance
04:02 – Commonly Used Optimizers (SGD, Adam, RMSprop, Momentum)
06:27 – Outro & Final Thoughts

👉 Watch the full Deep Learning Playlist here:    • DEEP LEARNING CONCEPTS