AI & Robotic
Showing 205–216 of 1170 results
Computer Vision: Face Recognition Quick Starter in Python
Quickly Build Python Deep Learning based Face Detection, Recognition, Emotion , Gender and Age Classification Systems
Computer vision: OpenCV Fundamentals using Python
Start your Deep Learning Computer Vision Endeavor with Strong OpenCV Basics in Python
Computer Vision: Python Face Swap and Quick Deepfake in Colab
Custom Face Swap using Python and OpenCV & Deepfake Image Animation using 'First Order Motion Model' paper in Colab
Computer Vision: Python OCR & Object Detection Quick Starter
Quick Starter for Optical Character Recognition, Image Recognition Object Detection and Object Recognition using Python
Computer Vision: YOLO Custom Object Detection with Free Colab GPU
YOLO: Pre-Trained Coco Dataset and Custom Trained Coronavirus Object Detection Model with Google Colab GPU Training
Computing With Natural Language
Study methods for processing and analyzing natural language data for various AI applications.
Confusion matrix and data imbalances
How do we know if a model is good or bad at classifying our data? The way that computers assess model performance sometimes can be difficult for us to comprehend or can over-simplify how the model will behave in the real world. To build models that work in a satisfactory way, we need to find intuitive ways to assess them, and understand how these metrics can bias our view.
Connecting and Programming Embedded Systems
Discover how to connect and program embedded systems for various applications and functionalities.
Connecting IoT devices to Azure AI services using Azure Functions
Create and deploy an Azure function to make a language translation IoT device. The function will use Cognitive Speech Service. Your device will record a voice in a foreign language and convert the speech to a target language.
Continuous Model Training with Evolving Data Streams
Are you facing the challenge of ever-changing data when it comes to machine learning? This course will teach you how to continuously train and adapt your models, ensuring long-term effectiveness.
Convolutional Neural Networks
Explore CNN architectures and techniques for image classification and recognition tasks.
Convolutional Neural Networks (CNNs): Visual Mastery with Deep Learning
Dive into the world of deep learning with CNNs using TensorFlow and Keras. This course will teach you how to build and optimize CNN models for real-world applications.