► 17. CONVOLUTIONAL Layers | Neural Networks with PyTorch Course.
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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 working with 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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In this video, we'll talk about creating convolutional layers and how they work internally. We'll learn how to calculate the number of trainable parameters in convolutional layers and much more.
Timecodes:
00:00 - Introduction.
00:23 - Creating a convolutional layer.
03:28 - Convolutional filter.
05:08 - Generating a feature map.
07:07 - Stride and padding.
10:07 - Calculating the height and width of the output tensor.
11:58 - Number of trainable parameters.
Tags: #pytorch #AI
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