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.
R
5 lessons
21 practices
3 hours
Course details
Mean Squared Error Loss
Fixing the Mean Squared Error (MSE) Loss Function in an R Neural Network
Implementing Mean Squared Error Loss with Loops in R
Mean Squared Error Loss with Vectorized R Operations
Handling Single Sample and Batch MSE in a Simple Neural Network
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