Where AI Is Today and Where It's Going
Explore AI's current capabilities and future potential with Richard Socher, covering image classification, computer vision, text analysis, and the transformative impact of AI on various fields.
Efficient Evaluation of Activation Functions over Encrypted Data
Explore techniques for approximating activation functions on encrypted data, with applications in secure machine learning for image classification and representation learning.
Leveraging the Power of C++ for Efficient Machine Learning on Embedded Devices
Explore practical applications of C++ and TensorFlow Lite for efficient machine learning on embedded devices, including image classification and hand gesture recognition on Raspberry Pi.
TensorFlow.js and Testing Web Accessibility - Frontend Love Virtual Meetup
Explore machine learning in the browser with TensorFlow.js and learn essential techniques for testing web accessibility to create inclusive, user-friendly applications.
How to Train an Image Classifier Using PyTorch
Learn to build an image classifier using PyTorch in this hands-on tutorial. Covers data preparation, model selection, training techniques, and evaluation, with practical tips and code examples for immediate implementation.
Production ML Monitoring - Outliers, Drift, Explainers & Statistical Performance
Practical deep dive into advanced ML monitoring techniques, covering outliers, drift, explainers, and statistical performance for robust production deployment and scalability.
Honey Bee Conservation Using Deep Learning
Explore DeepBee: an innovative tool using deep learning for automatic honeybee colony assessment, streamlining the process of counting and classifying comb cells for beekeepers.
A Journey into the World of Machine Learning with TensorFlow.js
Explore machine learning with TensorFlow.js through hands-on projects: build a digit classifier, develop a self-driving car using reinforcement learning, and create an image classifier for Angular applications.
Deep Learning in the World of Little Ponies
Explore computer vision and image classification using deep learning techniques to identify "My Little Pony" characters, with hands-on examples in Keras and Python.
AI on the Edge
Explore edge computing and AI for building intelligent offline apps. Learn about the AI Toolkit for Azure IoT Edge and create image classifiers using various techniques for offline deployment.
What's That Fruit
Explore image classification and object detection using Microsoft Cognitive Services, from cloud-based solutions to edge computing, with simplified explanations and practical code examples.
Deep Learning in the World of Little Ponies
Explore computer vision and deep neural networks to build custom image classifiers, with a fun twist using "My Little Pony" characters as examples.
The Hitchhiker's Guide to the Cloud
Explore major cloud providers' AI/ML APIs for text-to-speech, image classification, translation, and more. Compare AWS, GCP, and Azure to gain insights into their strengths and limitations.
Deep Learning in the World of Little Ponies
Explore computer vision and deep learning techniques to build custom image classifiers, using "My Little Pony" characters as an engaging example for practical application.
Recognize Handwriting with Core ML - Days of Swift Tutorials
Implement handwriting recognition on iOS using Core ML, Vision Framework, and MNIST model. Learn to process touch drawings for real-time digit classification.
Classification of MNIST Sign Language Alphabets Using Deep Learning
Learn to classify hand sign language alphabets using deep learning, covering data preparation, model creation, and result analysis for 25 classes.
Skin Cancer Lesion Classification Using the HAM10000 Dataset
Learn to classify skin cancer lesions using HAM10000 dataset. Covers data preparation, model building with Auto Keras, and result analysis for 7 types of skin lesions.
Personalizing Your Images with AI-Powered Features - Conf42 Python 2024
Explore AI-powered image personalization techniques, from handling large image sets to implementing automated management solutions. Includes practical demo and resources for further learning.
Improving Data and Modeling for Computer Vision Applications
Explore advancements in computer vision for data-centric image classification. Learn about visual prompts, parameter-efficient models, and adapting representations for improved performance and efficiency.
Introduction to Vertex AI - Build Series Episode 9
Explore Vertex AI on Google Cloud: Learn about machine learning options, AutoML, custom models, and see demos on dataset creation, model building, and classification.
Image Data Classification with BigQuery ML
Implement a classification model using SQL to label Yoga Poses in BigQuery ML, storing and analyzing example images without additional coding.