Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

To overcome these challenges, we propose sigRGCN, a robust residual graph convolutional network for scRNA-seq data clustering. Specifically, we first construct a disturbed cell graph by injecting ...

MLP-based architectures, which consist of a sequence of consecutive multi-layer perceptron blocks, have recently been found to reach comparable results to convolutional and transformer-based methods.

In this paper, a real-time MSRA method based on a graph neural network (GNN) is proposed to effectively address multiple ... In the GNN, the topology correlations in the inputs can be learned by graph ...

Functional residual capacity (FRC) is the volume of air left in your lungs after a normal, passive exhalation. This test is used to evaluate your lung function, and you may need to have your FRC ...

These parameters were subsequently used as input to a model that integrates the Convolutional Block Attention Module and a Long Short-Term Memory neural network, designed to classify the severity ...