► 7. DATA TRANSFORMATION. Transforms and V2 | Neural Networks Course with Pytorch.
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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!
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In this video, we'll introduce two modules: Transforms and V2. They're designed for various image transformations. We'll also explore the functions of the ToTensor, ToImage, ToDtype, Normalize, and Compose classes.
Timecodes:
00:00 - Introduction.
00:20 - Transforms and V2 modules.
01:48 - Transformations in Transforms.
04:37 - Transformations in V2.
07:25 - MNIST dataset.
09:48 - Regression dataset.
10:40 - Creating a custom class for transformations.
Tags: #pytorch #AI
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