Artificial Intelligence
318 learners
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.
Numpy
Python
5 lessons
21 practices
3 hours
Course details
Measuring Error: Loss Functions (MSE)
Mastering the MSE Loss Function
MSE Loss the Manual Way
Vectorized MSE for Neural Networks
Comparing MSE for Single and Batch
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