???? Day 183 of 365: Introduction to Neural Networks????
Ajinkya Deokate
Data Scientist | Researcher | Author | Public Speaking Expert @PlanetSpark | Freelancer
Hey, Networkers!
Welcome to Day 183 of our #365DaysOfDataScience journey! ??
?? What We’ll Be Exploring Today:
- We'll explore the basics of neural networks—think of neurons, layers, and how they all come together with weights.
- Learn how neural networks “learn†through forward propagation and backpropagation. It’s like the neural network’s way of trial and error!
?? Learning Resources:
- Read: A chapter on Neural Networks from Deep Learning by Ian Goodfellow (a great resource to dive deeper into this topic).
- Watch: "Neural Networks Explained" on YouTube for a visual and simplified explanation that breaks down complex ideas.
?? Today’s Task:
- Our task today is to understand how a neural network is built by studying its architecture (neurons, layers, weights) and learning components. We’ll go step-by-step through how forward propagation and backpropagation work.
Happy Learning & See You Soon!
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