Webdef get_network_fn(name, num_classes, weight_decay=0.0, is_training=False): """Returns a network_fn such as `logits, end_points = network_fn(images)`. Args: name: The name of the network. num_classes: The number of classes to use for classification. If 0 or None, the logits layer is omitted and its input features are returned instead. WebFuture Networks (FN) The erstwhile Smart Networks (SN) and Next Generation Switching (NGS) Divisions have been merged in to the Future Networks (FN) Division. Work Responsibilities . Future Network & Technology such as Artificial Intelligence (AI), Big Data, etc. – Study and Standardization activities.
Nesting Classical Actuarial Models into Neural Networks
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Feed-forward vs feedback neural networks
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