Скачать или смотреть How Does Backpropagation Work In Deep Learning? - AI and Machine Learning Explained

How Does Backpropagation Work In Deep Learning? Have you ever been curious about how deep learning models improve their performance over time? In this informative video, we will break down the concept of backpropagation, an essential algorithm used in training artificial neural networks. We’ll cover the two main phases of backpropagation: the forward pass and the backward pass. You’ll learn how input data flows through the network, how predictions are made, and how the model learns from its errors.

We’ll also discuss the role of loss functions in measuring prediction accuracy and how gradients are calculated and used to update the network’s parameters. This process is repeated over numerous iterations, refining the model’s performance. Additionally, we will touch upon the applications of backpropagation in popular AI tools like ChatGPT, DALL·E, and Midjourney, showcasing how these models generate text and images more effectively.

As AI continues to evolve, understanding the mechanics behind these algorithms becomes increasingly important. Join us for this engaging discussion, and don’t forget to subscribe for more informative content on AI and machine learning technologies.

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About Us: Welcome to AI and Machine Learning Explained, where we simplify the fascinating world of artificial intelligence and machine learning. Our channel covers a range of topics, including Artificial Intelligence Basics, Machine Learning Algorithms, Deep Learning Techniques, and Natural Language Processing. We also discuss Supervised vs. Unsupervised Learning, Neural Networks Explained, and the impact of AI in Business and Everyday Life.