In this repository, I released senet-densenet training codes and output files. And it refer to another repository(https://github.com/zhouyuangan/SE_DenseNet), which repository I had made some notes in.
Tensorflow-based framework which lists attentive implementation of the conventional neural network models (CNN, RNN-based), applicable for Relation Extraction classification tasks as well as API for custom model implementation
Convolutional Attention Block Module
Project 3 of Term 1 in the Udacity Self Driving Car Nanodegree
A practical comparision demonstrating: RT-IoT-2022 usage for binary (malicious or benign) and multi-class classification, ML (ensemble-based) and DL (CNN-based) models for training and comparison, and deployment trade-offs at the edge on an FPGA-equipped device - Kria KV260
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