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In this video we dive deep into the fascinating world of neural networks. Whether you're a beginner or want to solidify your knowledge, this tutorial will guide you through every step of building a neural network from scratch.
What you learn:
What is a Neural Network? Understand the basic structure and components of neural networks.
Forward Pass Explained: Learn how data moves through the network, from input to output.
Backpropagation Demystified: Discover how the network learns by adjusting weights based on errors.
Coding from scratch: Follow along as we code a neural network from scratch.
Practical Application: Check out our latest application as it learns to divide a 2D space.
Highlights:
Engaging animations that simplify complex concepts.
Step-by-step coding tutorials with clear explanations.
Practical examples to see theory in action.
This comprehensive guide will equip you with the knowledge and skills to create and understand neural networks, laying a strong foundation for your machine learning journey.
Chapters:
0:00 Introduction
0:15 What is a neuron network
1:39 Real life example
1:59 Forward pass
3:45 Training
7:49 Coding
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