Batch Normalization: What It Does and When to Use It
Batch normalization is a widely used technique for making neural-network training faster and more stable. It normalizes intermediate activations and then applies learned scale…
Read article →LATEST TRANSMISSIONS
Tag: <span>Neural Networks</span>
Why Residual Connections Make Deep Networks Easier to Train
Adding more layers should give a neural network more capacity, but very deep networks can become harder to optimize. Residual connections, popularized by ResNet,…
Read article →