{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Hidden Layer — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"<div style=\"font-family:sans-serif;border:1px solid #e0e0e0;border-radius:8px;padding:16px;max-width:600px;background:#ffffff;color:#111111;\"><p style=\"margin:0 0 4px;font-size:11px;color:#666;\">AI Glossary — gaks.ai</p><h3 style=\"margin:0 0 8px;font-size:16px;\">Hidden Layer</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">Any layer in a neural network that sits between the input layer and the output layer. Hidden layers are where the network learns to extract and transform features. The more hidden layers, the deeper the network and the more abstract the representations it can learn.  See also: deep learning, neural network, activation function.</p><a href=\"https://gaks.ai/glossary/hidden-layer\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/hidden-layer →</a></div>"}