【Stanford CS224N第4课】多层感知机分类模型【6/6】

Lecture 4 introduces single and multilayer neural networks, and how they can be used for classification purposes. Key phrases: Neural networks. Forward computation. Backward propagation. Neuron Units. Max-margin Loss. Gradient checks. Xavier parameter initialization. Learning rates. Adagrad.