Neural Networks in R and the MNIST Data - Lecture 10.R.1
Explore neural networks using R and MNIST data, learning practical implementation of deep learning techniques for image recognition and statistical analysis.
Automated Recognition of Visual Situations in Images
AI architecture for recognizing visual situations in images, using learned models of object features and spatial relationships to actively search and score images for specific situations.
Introduction to Neural Networks - Lecture 5
Introduction to neural networks, covering object classification, image representation, and machine learning fundamentals. Explores biological inspiration, computational implementation, and practical applications in image recognition.
Use Azure Custom Vision to Repurpose the Lunar Rover
Learn to build an image classifier using Azure Custom Vision to identify objects in images, with hands-on training and testing of an AI model for practical applications.
Amazon Rekognition with PHP
Learn to implement Amazon Rekognition's image analysis features using PHP, including label detection, facial recognition, and celebrity identification.
Unpaired Image to Image Translation Using CycleGAN - An Introduction
Introduction to CycleGAN for unpaired image-to-image translation, covering key concepts, architecture, and training process. Explores discriminator and generator components, focusing on PatchGAN and instance normalization.
Image to Image Translation Using Pix2Pix GAN
Learn image-to-image translation using Pix2Pix GAN, exploring key concepts, generator and discriminator architectures, and practical applications in satellite imagery and scientific image generation.
Everything You Wanted to Know About Machine Learning but Didn't Know Whom to Ask - Sanjeev Arora
Explore machine learning fundamentals, from text classification to image recognition, with insights on optimization, unsupervised learning, and language models in this comprehensive seminar.
Нейросети на Python
Учебный курс начального уровня для программистов, которые хотят научится применять нейронные сети для решения практических задач.
Building the Chrome Dino Game Using Python in Hindi
Learn to build the Chrome Dino game using Python in this Hindi tutorial. Create image recognition, game classes, and main logic to recreate the popular offline browser game.
Deep learning ด้วย tensorflow และ keras
เรียนรู้การสร้างโมเดล Deep Learning ด้วย TensorFlow และ Keras ตั้งแต่พื้นฐานจนถึงระดับสูง ครอบคลุมการติดตั้ง การใช้งาน และเทคนิคการปรับแต่งโมเดล
Automating the Chrome Dinosaur Game Using Python
Learn to automate the Chrome Dinosaur game using Python. Explore image processing, screen capture, and input simulation techniques for game automation.
MLOps: C# Image Recognition with ResNet50v2 Model
Realiza inferencia de reconocimiento de imágenes con ResNet50v2 en C# utilizando Microsoft ML y SixLabors.ImageSharp. Aprende MLOps práctico.
Embedded Deep Learning with NVIDIA Jetson
Learn to develop AI and computer vision applications using NVIDIA's deep learning tools. Explore neural network primitives, real-time solutions, and training workflows for intelligent robots and drones on the Jetson Embedded Platform.
Adding AI to Your ESP32 - Machine Learning and Object Detection
Explore machine learning on ESP32: object detection, image recognition, keyword spotting, time series data, and LLMs. Learn to implement AI using EdgeImpulse and Google TensorFlow Lite for Microcontrollers.
The Future of Visual Search - Pinterest's Vision and Impact
Explore how visual technology is reshaping inspiration, idea discovery, and personal pursuits with Pinterest's CEO, discussing challenges, innovations, and the platform's unique approach.
AI-Ready Microservice Architecture for Deploying and Evaluating AI Models
Explore event-driven architecture for deploying AI models in production using Knative, KServe, and Kubeflow. Includes real-time image recognition demo with audience participation.
Build an Android App to Recognize Flowers Using TensorFlow Lite
Learn to train a TensorFlow Lite model for custom image recognition and integrate it into an Android app using ML Model Binding plugin in Android Studio 4.1 beta.
Identify Celebrities, Text, and Labels Using Amazon Rekognition and PowerShell
Learn to use Amazon Rekognition with PowerShell for automated image analysis, including celebrity identification, text recognition, and label detection. Practical examples demonstrate API usage and image processing techniques.
Processing Custom Vision Output with Azure and SQL Databases
Master practical techniques for processing Azure Custom Vision outputs through Stream Analytics, IoT Hub, and SQL databases to transform raw detection data into meaningful, queryable insights.
Choosing AI Vision Solutions - A Comparative Analysis of Custom Vision and ChatGPT Vision
Explore the key differences between AI vision solutions, comparing Custom Vision and ChatGPT Vision through hands-on demonstrations of Azure services and practical implementation strategies.