Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
eLife

Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
IEEE

Real-time optimization algorithm for unmanned aerial vehicle trajectory based on improved recurrent neural network

Abstract: Aiming at the real-time problem of unmanned aerial vehicle (UAV) trajectory optimization, this paper constructs a decision system based on an improved Recurrent Neural Network (RNN). First, ...
IEEE

Improving accuracy in Text Extraction From images using Region-Based Convolutional Neural Networks algorithm compared to Convolutional Neural Network algorithm

Abstract: Text extraction is a critical task in data processing and analysis, requiring high accuracy for effective applications. This research employed a publicly accessible Kaggle dataset to assess ...
GitHub

HMAC-based key derivation function (HKDF) standalone implementation using pure Python.

This library contains a pure-Python implementation of the HMAC-based key derivation function (HKDF) as specified in RFC 5869. The order and names of arguments within the function signatures in this ...