Deep Learning with Yacine on MSN

Nadam optimizer explained: Python tutorial for beginners & pros

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...
Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
GitHub

neo4j-examples/python-driver-examples

To use GitHub Codespaces you will need to login with a GitHub account. You can use the GitHub Codespaces free monthly usage to view these examples.
GitHub

neo4j-product-examples/neo4j-gnn-llm-example

Knowledge graph retrieval to improve multi-hop Q&A performance, optimized with GNN + LLM models. RAG on large knowledge graphs that require multi-hop retrieval and reasoning, beyond node ...
IEEE

IEEE Communications Surveys and Tutorials

Abstract: I welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2021. This issue includes 23 papers covering different aspects of communication networks. In particular, ...