GenAI & LLMs | Video 3 | Part 1 | ANN - Artificial Neural Network | Venkat Reddy AI Classes
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Artificial Neural Networks (ANNs) are at the heart of today's most advanced AI applications, powering everything from large language models to complex image processing systems. This video delves into the intricacies of ANNs, explaining their pivotal role in advancing machine learning, deep learning, and AI technologies.
📌 Timestamps:
0:00 ANN Introduction
2:12 Point 1- Recap of Logistic Reg(Single Decision boundary)
9:13 Point 2- Find Weights(beta coefficients)
18:28 Point 3- Multiple/Non-linear Decision Boundaries
25:38 Point 4- Intermediate output
36:20 Combine 4 points
38:02 Neural Network and Vocabulary
44:43 Neural Network Algorithm
In this video, we break down the complex theory of ANNs into four easy-to-understand sub-theories, providing a comprehensive understanding of how these networks operate and their significance in AI development.
Key Points Covered:
Logistic Regression Recap: Understanding how logistic regression lines create decision boundaries between classes.
Minimizing Error in Models: Exploring how we find weights (w’s) by minimizing errors during model building.
Handling Non-Linear Decision Boundaries: Discussing the limitations of logistic regression lines with non-linear decision boundaries.
Intermediate Outputs for Non-Linear Solutions: Utilizing intermediate outputs to address non-linear decision boundary problems.
By the end of this video, you will have a clear understanding of the foundational principles behind ANNs and how they are applied in various advanced AI applications.
Watch now to learn:
The basics of artificial neural networks
How logistic regression is related to neural networks
Techniques for minimizing errors in AI models
Solutions for non-linear decision boundary challenges
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Dive into the fascinating world of Artificial Neural Networks and discover how this pivotal algorithm has transformed the landscape of AI and Machine Learning. Watch now to get a comprehensive understanding of ANN and its real-world applications!