► 22. U-net Model. Implementation | Neural Networks Course with Pytorch.
✅ Courses with problems:
► Pytorch with problems: https://clck.ru/3M9z2Y
► Pandas with problems: https://clck.ru/3M9z4V
► Numpy with problems: https://clck.ru/3M9z67
✅ My Telegram channel: https://t.me/dubinin_ser
✅ Telegram groups:
► Pytorch: https://t.me/PyTorch_for_you
► Pandas: https://t.me/pandas_for_you
► Numpy: https://t.me/numpy_for_you
=======================================================
Greetings, friends! If you're interested in machine learning and want to learn how to build your own deep learning models, you've come to the right place!
PyTorch is one of the most popular deep learning libraries, providing tools for creating and training neural networks.
In this video series, we'll learn the basics of PyTorch. We'll then dive into the world of neural networks, exploring different layer types. We'll also explore different neural network architectures, such as convolutional neural networks.
Don't waste any time and join us on this exciting journey into the world of neural networks and PyTorch!
========================================================
In this video, we'll implement the U-net model from scratch.
Timecodes:
00:00 - Introduction.
00:19 - U-net Architecture.
04:11 - Creation of U-net.
Tags: #pytorch #AI