{"version":"1.0","type":"link","title":"Batch normalization - Newikis","description":"In artificial neural networks, batch normalization (also known as batch norm) is a normalization technique used to make training faster and more stable by adjusting the inputs to each layer—re-centering them around zero and re-scaling them to a standard size. It was introduced by Sergey Ioffe and…","provider_name":"Newikis","provider_url":"https://newikis.com","cache_age":86400}