IEEE

Toxic Comment Classification using Hybrid BERT-Bi-LSTM Architecture

Abstract: Toxic comment classification presents a significant challenge in the current era, characterized by widespread internet access and the potential for misuse of free speech, frequently ...
来自MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
IEEE

Brain Tumour Identification, Classification and Severity Assessment using CNN - LSTM

Abstract: Brain tumours present a formidable challenge in healthcare, requiring accurate identification, classification, and severity assessment for effective treatment. Leveraging deep learning ...
TWCN Tech News

How to use GitHub Spark to create Web Apps?

This post explains how to use GitHub Spark to create web apps. The market today is flooded with AI-powered coding assistants — from tools that autocomplete lines of code to platforms that generate ...
GitHub

EEG-Depression-Classification-HybridSNN-LSTM

EEG samples are converted into spike trains using NeuCube. The spatio-temporal spiking patterns are encoded across a 3D SNN reservoir. The resulting spike outputs are stored in out_neucube_open.h5.
来自MSN

Neural Network python from scratch | MultiClass Classification with Softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
GitHub

rnn-lstm

RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems. This project provides implementations with ...