Please provide your email address to receive an email when new articles are posted on . The model had an area under the curve of 0.92 in the detection of severe glaucoma. Additional training data ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
Using a deep learning AI model, researchers identified the first-of-its-kind biomarker of chronic stress detectable through ...
Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...
BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
Results of a set of experiments found that individuals learning about a topic from large language model summaries develop ...
The video presentation below, “Deep Learning – Theory and Applications” is from the July 23rd SF Machine Learning Meetup at the Workday Inc. San Francisco office. The featured speaker is Ilya ...
Seven-month LIVE online programme, delivered with TimesPro, builds hands-on capability in Python, TensorFlow, PyTorch, and ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
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