LoRA - Low Rank Adaptation for Parameter Efficient Fine-Tuning
Dive into parameter-efficient fine-tuning with LoRA, exploring low-rank matrices, adapters, and techniques to optimize neural network storage and performance while maintaining accuracy.
How Do Transformers Work? - A Deep Dive into Neural Network Architecture
Dive into the fundamental mechanics and architecture of transformer models, exploring their key components and operational principles through expert insights from MIT's research.
Formal Backdoor Detection Games and Deceptive Alignment in Machine Learning
Explore the strategic interplay between attackers and defenders in machine learning backdoors, examining implications for AI alignment and deceptive behavior detection.
Learning to Reason - Insights from Language Modeling
Explore the fascinating intersection of language modeling and reasoning processes through Stanford researcher Noah Goodman's insightful analysis of cognitive learning mechanisms.
Seamless Transition from Single-core Python to Julia Multi-GPU
Discover how to transform single-core Python code into scalable Julia applications for GPU supercomputers, with focus on automatic verification and parallel computing optimization.
Real-Time Airborne Magnetic Navigation with MagNav.jl
Discover how MagNav.jl enables real-time magnetic navigation by compensating aircraft magnetic fields and implementing advanced navigation filters using Julia's powerful features.
Live Portrait Tutorial - Animating Images with AI-Controlled Expressions and Emotions
Master the art of animating still images with realistic facial expressions using Live Portrait's free AI technology and Python-based implementation.
Enhancing Old Videos to Full HD Using AI Tools - Video Restoration Tutorial
Discover how to transform old, low-quality videos into full HD using AI-powered video enhancement tools, Python libraries, and GPU processing for superior resolution and clarity.
Bootstrapping AI with Web3 Tools - A Technical Overview
Explore the intersection of AI and Web3 technologies through expert insights on leveraging blockchain-based tools for artificial intelligence development and implementation.
Нейросети на Python
Учебный курс начального уровня для программистов, которые хотят научится применять нейронные сети для решения практических задач.
Povestea Sistemelor Inteligente: Evoluția Gândirii Automate
Explorează evoluția inteligenței artificiale și funcționarea sistemelor inteligente în această prezentare TEDx de 13 minute susținută de Vlad Tudor. Descoperă originile și principiile fundamentale ale gândirii automate, explicate de la zero de către un e…
Machine learning en espanol
Introducción práctica al aprendizaje automático en español, cubriendo técnicas supervisadas y no supervisadas con aplicaciones reales como reconocimiento de imágenes y sistemas de recomendación.
PyTorch Tutorials 神经网络 教学
深入探讨PyTorch神经网络：从基础概念到高级应用，涵盖CNN、RNN、自编码器、强化学习和GAN，并讲解优化技巧如批标准化和过拟合处理。
모두를 위한 딥러닝 - PyTorch
PyTorch를 활용한 딥러닝 기초부터 고급 기술까지 실습 중심으로 학습. 텐서 조작, 선형 회귀, CNN, RNN 등 다양한 모델 구현 및 최적화 기법 습득.
PyTorch
PyTorch ile derin öğrenme: Temel kavramlardan CNN'lere kadar kapsamlı bir eğitim. Yapay sinir ağları, lineer regresyon, aktivasyon fonksiyonları ve optimizasyon teknikleri üzerine uygulamalı dersler.
Learn Data Science Step by Step in Hindi
Comprehensive Hindi tutorial covering data science fundamentals, machine learning categories, and practical projects using Python. Includes hands-on demos with IPL, FIFA, and Marvel datasets.
Нейронные сети на Python. Уроки
Углубленное изучение нейронных сетей на Python: от основ до продвинутых архитектур. Практические примеры реализации различных типов сетей с использованием Keras и TensorFlow.
Keras ile Derin Öğrenme
Keras kullanarak derin öğrenme tekniklerini öğrenin. Kanser tespitinden görüntü işlemeye, oyun yapay zekasından LSTM'e kadar çeşitli uygulamalarla pratik yapın.
Deep learning ด้วย tensorflow และ keras
เรียนรู้การสร้างโมเดล Deep Learning ด้วย TensorFlow และ Keras ตั้งแต่พื้นฐานจนถึงระดับสูง ครอบคลุมการติดตั้ง การใช้งาน และเทคนิคการปรับแต่งโมเดล
TensorFlow Tutorials 神经网络 教学 教程
从零开始学习TensorFlow构建神经网络，涵盖基础概念、CNN、RNN等高级主题，通过实例和可视化深入理解深度学习原理和应用。
Formation Tensorflow 2.0
Apprenez les fondamentaux de TensorFlow 2.0, des perceptrons aux réseaux de neurones récurrents, en passant par la normalisation des données et la création de modèles personnalisés.