AI, Machine Learning, Deep Learning - Ma Quindi Di Cosa Stiamo Parlando?
Panoramica chiara e concisa su AI, ML, DL e RL: definizioni, benefici e limiti per comprendere meglio queste tecnologie innovative e il loro potenziale nell'affrontare problemi complessi.
OpenCV e TensorFlow in pratica
Identificazione e classificazione di oggetti in video utilizzando OpenCV e TensorFlow, con focus su implementazione pratica, scalabilità e soluzioni per il salvataggio dei dati.
Deep Learning for Developers
Explore state-of-the-art deep learning models like CNN, GAN, and LSTM through code demos. Learn to customize, deploy, and use advanced models for image detection, generation, and machine translation.
NLP in Feedback Analysis
Explore cutting-edge NLP techniques for feedback analysis, including topic detection and sentiment analysis. Learn about word embedding, neural network models, and their real-world applications in text analytics.
Deep Learning in Computer Vision
Explore deep learning in computer vision, from basic concepts to advanced architectures. Learn to design networks that process images, solving complex problems with practical examples and expert insights.
How to Use AI and Java to Train Your Application to Recognize People by Name Regardless of Aging and Weight Changes
Develop a Java application using AI for facial recognition that adapts to changes in appearance over time, enabling accurate identification even in crowded settings.
Building a Self-Driving RC Car
Explore building a self-driving RC car, covering hardware, software, image processing, and ethical considerations in autonomous vehicles.
Compassion-First Design for AI
Explore compassion-first AI design, emphasizing human-centric approaches for meaningful human-AI relationships and immersive experiences, while questioning the potential of emotionally intelligent machines.
The Future of Art
Explore the intersection of machine learning and creative arts, examining how AI collaborates with artists to produce innovative visual art and music, and its potential impact on the future of artistic expression.
Deep Learning - The Future of Artificial Intelligence
Explore deep learning's impact on AI, current capabilities, and future potential. Learn about tools like TensorFlow and Microsoft Cognitive Toolkit for creating advanced machine learning models.
A Developer, a Designer and a Data Scientist Walk into a Bar
Découvrez comment une équipe multidisciplinaire de développeur, designer et data scientist collabore efficacement pour créer des solutions innovantes intégrant design, expérience utilisateur et intelligence artificielle.
Tensorflow, Deep Learning and Modern RNN Architectures - Without a PhD
Explore modern RNN architectures and deep learning techniques for image recognition, natural language processing, and reinforcement learning. Gain practical tips and engineering best practices for applying these advanced technologies.
Tensorflow and Deep Reinforcement Learning, Without a PhD
Explore TensorFlow and deep reinforcement learning, covering neural network architectures, recent advances, and practical applications in image recognition, NLP, and AI game-playing.
Image Recognition with Deep Learning - From Prototype to Production
Explore image recognition using deep learning, from prototype to production. Learn to develop and implement neural networks for clothing characteristic detection, with insights on training, deployment, and front-end integration.
Machine Learning Without the Hype
Explore AI, machine learning, and deep learning concepts, comparing rule-based and ML approaches for time-series data. Learn supervised vs unsupervised learning with practical examples and best practices.
A Crystal Ball to Prioritize Technical Debt
Uncover problematic code and team dynamics using software evolution techniques and psychology. Prioritize improvements, detect organizational issues, and make data-driven decisions for better software development.
Teaching Kids About Machine Learning
Explore hands-on approaches to introduce machine learning to children, using cloud-based APIs and interactive resources for an engaging and inspiring educational experience.
Minecraft and Reinforcement Learning
Explore reinforcement learning in AI using Minecraft as a testing ground. Learn problem-solving techniques, image recognition, and practical applications through Project Malmo.
Embed Cognitive in Your Apps Easily
Discover how to integrate cognitive and AI APIs into IoT applications, with a live demo using Node-RED on Raspberry Pi.
Building a Self-Driving RC Car
Explore the conversion of an RC car into an autonomous vehicle, covering electronics, sensors, AI, and computer vision. Learn about challenges and dilemmas in real-world self-driving scenarios.
Go Kotlin Go!
Explore the development of a Go game engine in Kotlin, learning about AI challenges and implementation strategies for this ancient and complex board game.