Exercise: Applying Batch Normalization in Neural Networks
Explore the implementation of batch normalization within multi-layer perceptrons to address vanishing and exploding gradients. This lesson guides you through data preprocessing, model building, normalization application, and evaluation, helping you enhance neural network stability and accuracy.
In neural network training, extreme feature values can lead to issues with vanishing or exploding gradients, making the learning process challenging. While activation function choices can help mitigate these problems, batch normalization is another powerful technique to consider.
You’re tasked with implementing batch normalization in a neural network model to address the potential issues caused by extreme feature values.
What’s batch normalization?
The feature map effect is addressed using batch ...