At its core, a training needs analysis (TNA) is a systematic process that helps organizations assess the current skills, knowledge, and abilities of their employees in relation to the desired ...
Several new innovations have been made possible because of the advancements in the field of Artificial intelligence and Deep Learning. Complex tasks like text or picture synthesis, segmentation, and ...
A Robust Initialization of Residual Blocks for Effective ResNet Training Without Batch Normalization
Abstract: Batch normalization is an essential component of all state-of-the-art neural networks architectures. However, since it introduces many practical issues, much recent research has been devoted ...
Department of Otolaryngology-Head and Neck Surgery, Children’s Hospital of Fudan University, Shanghai, China Objective: To analyze the cranial computed tomography (CT) imaging features of patients ...
The emerging field of digital phenotyping leverages the numerous sensors embedded in a smartphone to better understand its user's current psychological state and behavior, enabling improved health ...
There was a time when self-driving cars taking over the roads was a distant vision. Today, the situation has changed dramatically. Although autonomous vehicles (AVs) took longer than expected to make ...
From the beginning of April'22 2022 (it is difficult to determine the exact date and exact commit) Dygraph train.py script for the dygraph/resnet model from the https ...
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