The Manila Times

Chongwei Shi Advances Biostatistical Methods and Computational Biology Through Deep Learning and Statistical Shape Analysis

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
IEEE

Recurrent Neural Networks and (Time-Uniform) Universal Approximation of Bayesian Filters

Abstract: We consider approximations of the Bayesian optimal filtering problem: e.g. estimating some conditional statistics of a latent time-series signal from an observation sequence. Classical ...
GitHub

Python bindings for Network Security Services (NSS) and Netscape Portable Runtime (NSPR).

python-nss-ng is a Python binding for NSS (Network Security Services) and NSPR (Netscape Portable Runtime). NSS provides cryptography services supporting SSL, TLS, PKI, PKIX, X509, PKCS*, etc. NSS is ...
Hosted on MSN

Understanding forward propagation in neural networks with Python – step by step

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs through layers, calculating activations, and preparing data for ...
Hosted on MSN

Deep neural network from scratch in Python – fully connected feedforward tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
IEEE

V-DCRNN: Virtual Network-Based Diffusion Convolutional Recurrent Neural Network for Estimating Unobserved Traffic Data

Abstract: Several studies have analyzed traffic patterns using Vehicle Detector (VD) and Global Positioning System (GPS) data. VD records the speed of vehicles passing through detectors, GPS data ...