Artificial Intelligence
Training Neural Networks: the Backpropagation Algorithm
This course dives into how neural networks learn from data. You'll implement loss functions to measure prediction errors, understand the intuition and mechanics of gradient descent, master the backpropagation algorithm to calculate gradients, and use an optimizer to update network weights.
C++
5 lessons
21 practices
3 hours
Course details
Mean Squared Error Loss
Fix the MSE Loss Function Implementation
Implementing MSE Loss with Explicit Loops
Implementing MSE Loss Function in C++
Implementing Batch Processing for MSE Loss Calculation
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