48. NEURAL NETWORKS

Neural networks are machine learning models inspired by the human brain, consisting of layers of interconnected nodes (neurons).
They learn to recognize patterns in data by adjusting weights through training using algorithms like backpropagation.
Neural networks are powerful for tasks like image recognition, natural language processing, and time-series prediction.
Deep neural networks with many layers are called deep learning models and can handle complex, high-dimensional data.
📂 Resources:
🔗 Colab Notebook: https://colab.research.google.com/drive/1CNqO3Ncc3qNqXRmbjU67_wjVSQCn6aJk?usp=sharing
Open Notebook

📄 Document/Notes (PDF): https://docs.google.com/presentation/d/1jIaDmEIEjhcvpsTk166HjmWirqBZOp0b/edit?usp=sharing&ouid=103572402322897551328&rtpof=true&sd=true
View/Download Notes

📺 Playlist:
Catch the full playlist here → https://www.youtube.com/playlist?list=PLfLqropWTg_xQKFSfu20ou91l4EsyqHVb
🙌 Stay Connected:
✅ Like | 💬 Comment | 🔔 Subscribe for more sessions!

Видео 48. NEURAL NETWORKS канала Kiet-Hub