► 15. Dropout. Combating Overfitting. | Neural Networks Course with Pytorch.
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► Numpy with problems: https://clck.ru/3M9y25
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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. Then, we'll 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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Timecodes:
00:00 - Introduction
00:13 - What is Dropout?
03:17 - An example of using Dropout for MNIST classification.
Tags: #pytorch #AI
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