Training uses backpropagation and numerical optimization to adjust many connected parameters. Deeper layers combine simpler features into representations useful for language, vision, audio, control, and other tasks.
Deep learning is machine learning based on neural networks with multiple layers of learned representations.
Training uses backpropagation and numerical optimization to adjust many connected parameters. Deeper layers combine simpler features into representations useful for language, vision, audio, control, and other tasks.