Deep Learning with Yacine on MSN
How to implement stochastic gradient descent with momentum in Python
Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.
Deep Learning with Yacine on MSN
Adadelta optimizer explained – Python tutorial for beginners & pros
Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
Run oprn source Chatterbox on CPU or GPU with Python 3.11 with watermarking support, giving creators fast, traceable voice ...
Elecrow AI Starter Kit for the NVIDIA Jetson Orin Nano turns the NVIDIA Jetson Orin Nano into a learning and educational kit ...
Overview: Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
In this blog, we will discuss how Keysight RF Circuit Simulation Professional revamps RF circuit simulation and optimization. Discover how to achieve efficient, accurate designs for even the most ...
Abstract: Optimizing Python code is essential for enhancing performance and efficiency. This project investigates the use of large pre-trained language models, specifically GPT (Generative Pre-trained ...
Particle Swarm Optimization (PSO) Differential Evolution (DE) Many Optimizing Liaisons (MOL) - A simple variant of PSO Pattern Search (PS) Local Unimodal Sampling (LUS) All these optimizers perform ...
Aligning large language models (LLMs) with human values and preferences is challenging. Traditional methods, such as Reinforcement Learning from Human Feedback (RLHF), have paved the way by ...
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