Entering the Fourth Dimension of OCR with Tesseract
Explore Tesseract OCR's capabilities, accuracy, and integration with Java projects. Learn how to process scanned text and assess its performance using real-world examples.
Delivering Fast and Beautiful Images and Video
Strategies for efficient delivery of optimized images and videos across devices, focusing on responsive design, lazy loading, and format selection for improved website performance.
Deep Learning Like a Viking - Building Convolutional Neural Networks with Keras
Explore convolutional neural networks using Keras to recognize Viking runes, with hands-on coding and web application integration for practical machine learning experience.
Providing Eyes, Ears, and a Mouth to Your IoT Project
Explore Intel RealSense for IoT projects: gesture control, voice recognition, and face detection. Enhance user experiences in home automation, robotics, and security using Raspberry Pi, Galileo, and Edison.
Tensorflow and Deep Learning - Without a PhD
Comprehensive introduction to TensorFlow and deep learning, covering neural networks, convolutional networks, regularization techniques, and practical applications in image and language processing.
Digitizing Your Grand Dad's Old Films with a Pi
Learn to digitize old films using a Raspberry Pi, including scanner setup, image processing, and building a DIY rig. Preserve family memories with this cost-effective, hands-on approach.
Watson and the Cognitive Developer
Explore Watson's machine learning capabilities for enterprise Java applications, including natural language processing, conversation workspaces, and document conversion. Learn best practices for cognitive app development.
Making Android Apps with Intelligence
Explore integrating machine learning services into Android apps for features like emotion recognition, speech processing, and face detection, without deep ML expertise.
Mobile Applications That Can See
Explore Google's "mobile vision" SDK for Android and iOS, enabling face detection, barcode reading, and text recognition in mobile apps, even offline.
Building a Self Driving RC Car
Explore the journey of converting an RC car into an autonomous vehicle, covering electronics, sensors, AI, and computer vision, while comparing it to real-world self-driving technologies.
Tensorflow, Deep Learning and Modern Convolutional Neural Nets, Without a PhD
Explore modern convolutional neural networks and deep learning with TensorFlow. Learn practical tips, engineering best practices, and recent advances in image recognition without needing a PhD.
Image Optimization - The "How To"
Explore image formats, their strengths and weaknesses, and learn effective optimization techniques for web and app development. Gain insights on automating the process for better performance.
Exploring Deep Learning AI in the Cloud
Explore cloud-based deep learning AI technologies for natural language understanding, speech recognition, image analysis, and text-to-speech. Gain insights into Amazon's AI services and their practical applications.
Machine Learning as an API - Easy Ways to Add Intelligence to Your Web App
Explore machine learning APIs for image analysis, speech recognition, and text processing to enhance web apps without deep technical expertise.
Bringing Handwriting Recognition to Your Webapp with a Polymer Component
Explore handwriting recognition integration in webapps using MyScript's Polymer component. Learn about text, math, and music recognition technologies and their machine learning foundations.
Deep Perceptual Hashing Algorithms With Hidden Dual Purpose - Client-Side Scanning Facial Recognition
Explore hidden capabilities of deep perceptual hashing algorithms, focusing on client-side scanning and facial recognition applications in this cutting-edge IEEE presentation.
Computer Vision - British Clay
Explore AutoML techniques for image classification, comparing tools to build models from labeled samples. Discover the ease of detecting Wallace vs. Gromit in this hands-on demo.
From 0 to Deep Learning in 3 Hours
Comprehensive introduction to neural networks and deep learning, covering fundamentals, practical applications, and implementation using popular libraries like TensorFlow and Keras.
Firebase ML Kit - Machine Learning Made Easy
Explore Firebase ML Kit's APIs for Android development, including face detection, text recognition, and object detection. Learn to implement these features in your apps without deep ML knowledge.
A Practical Introduction to Convnets for Image Classification
Practical guide to developing CNN-based image classification pipelines, covering dataset handling, architecture design, training, and evaluation. Explores real-world applications in robotics and biomedicine.
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.