In this overview, Engineer Ari Mahpour takes you through the fascinating world of artificial neural networks, the backbone of machine learning and AI. Ari covers the basics, explores how neural networks function, and even get hands-on with a practical example of creating a machine learning algorithm using PyTorch.
If you're curious about the engine behind generative AI, this video will help you understand and appreciate it, as well as answer the question, "How do artificial neural networks work?"
🔑 *Key Points Covered:*
What are NEURAL NETWORKS and how do they work?
A practical example of building a MACHINE LEARNING algorithm
Introduction to PyTorch, TensorFlow and the like
📚 *Resources Mentioned:*
"Make Your Own Neural Network" by Tariq Rashid: https://www.amazon.com/Make-Your-Own-...
Learn More about PyTorch: https://pytorch.org/
Learn More about TenserFlow: https://www.tensorflow.org/
-Ari's Open Source Repository: https://gitlab.com/ai-examples/digit-...
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#neuralnetworks #neuralnetwork #generativeai
0:00 Intro
0:40 Source Text
1:32 What Are Neural Networks?
2:40 How Do Artificial Neural Networks Work?
3:49 Rules Vs. Patterns
8:28 Piecewise Functions & Curve Fitting
13:05 Before We Code...
15:38 Coding a Convolutional Neural Network
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