Making LLMs Smart With Transformers: It’s A Really Big Deal

Here’s how: prior to the transformer, what you had was essentially a set of weighted inputs. You had LSTMs (long short term memory networks) to enhance backpropagation – but there were still some ...
IEEE

Multi-Scale Graph Transformer Networks for Regional Emission Spatiotemporal Prediction

Abstract: The spatiotemporal graph prediction of regional emissions offers scientific insights for designing sensible macro emission reduction policies and investigating regional emission ...
IEEE

ViT-SAGE Hybrid: Transformer Patch Embeddings with Graph Neural Network Aggregation for Kidney CT Classification

Abstract: Accurate classification of kidney conditions from CT scans is critical for timely diagnosis and treatment. Traditional convolutional neural networks (CNNs) struggle to capture both global ...
GitHub

DailyActie/AI_DL_NET-SNNs

Tensorflow 1.4 already has the function "tf.nn.selu" and "tf.contrib.nn.alpha_dropout" that implement the SELU activation function and the suggested dropout version.