· ai
Cross Entropy Derivatives, Part 3: Chain Rule for a Single Output Class
markdown !Cover image for Cross Entropy Derivatives, Part 3: Chain Rule for a Single Output Classhttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=c...
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- · ai
[Paper] Backpropagation as Physical Relaxation: Exact Gradients in Finite Time
Backpropagation, the foundational algorithm for training neural networks, is typically understood as a symbolic computation that recursively applies the chain r...
- · ai
Understanding Gradients: The Engine Behind Neural Network Learning
In the previous article, we explored activation functions and visualized them using Python. Now, let’s see what gradients are. What Is a Gradient? Neural networ...
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The Machine Learning “Advent Calendar” Day 17: Neural Network Regressor in Excel
Neural networks often feel like black boxes. In this article, we build a neural network regressor from scratch using only Excel formulas. By making every step e...
- · ai
Backpropagation in Deep Learning: A Complete, Intuitive, and Practical Guide
markdown !Nishanthan Khttps://media2.dev.to/dynamic/image/width=50,height=50,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2F...