PyTorch Tutorial 2: How Neural Networks work
Github Tutorial Repo: https://github.com/viibrem/yt_tutorials
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In this video, we'll dive into the fascinating world of neural networks and explore how they work. Neural networks are a type of machine learning model that is inspired by the structure and function of the human brain. They are used in a wide range of applications, from image recognition and natural language processing to self-driving cars and predictive analytics.
We'll start by introducing the basic concepts behind neural networks. We'll then walk through the process of training a neural network using data, and explain how the model learns from the data to make predictions.
Whether you're a student, a developer, or simply curious about how neural networks work, this video will provide a solid foundation for understanding this powerful technology. So sit back, relax, and let's explore the fascinating world of neural networks together!
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