4 Books from Machine Learning to Transformers

Introduction A few years ago, I was assigned the task of classifying internal inquiry logs. At the time, I was running a ...
ascopubs.org

Transformer-based deep learning model for integrated pathomics and radiomics in predicting postoperative survival of intrahepatic cholangiocarcinoma patients.

Hepatocellular carcinoma patients with portal vein thrombosis treated with robotic radiosurgery for long term outcome and analysis: CTRT:2022/01/050234. This is an ASCO Meeting Abstract from the 2025 ...
BIOENGINEER

Graph Transformer Model Aims to Sharpen RNA Velocity Predictions in Single-Cell Genomics

Single-cell biology has been transformed over the past decade by the ability to measure gene expression in thousands of ...
Analytics Insight

Deep Learning Cheat Sheet for Beginners & Professionals

Overview:  Deep learning uses multi-layer neural networks to learn patterns from data.CNNs, RNNs, LSTMs, transformers, and autoencoders support different t ...