AI & Robotic
Showing 1057–1068 of 1355 results
Neural Networks for Data Professionals: A Comprehensive Introduction
Unlock the power of neural networks in data science. This course will teach you to build, deploy, and optimize neural networks for real-world applications.
Neural Networks for Image Classification
Unlock the potential of image classification with neural networks. This course will teach you to extract features, build, and evaluate models using TensorFlow, and explore advanced architectures with transfer learning.
NLP’s and Transformer Models
Transformers have revolutionized NLP since their inception in 2017. They can understand language at a deeper level as well as parallelize training on GPUs. In this course, you will learn how to create Transformers for NLP.
Node-RED: basics to bots
Master Node-RED from basics to building bots. Learn how this flow-based development tool simplifies AI and automation projects for beginners and experts alike.
NVIDIA DeepStream development with Microsoft Azure
With NVIDIA DeepStream, you can seamlessly develop optimized Intelligent Video Applications that can consume multiple video, image, and audio sources. You can also apply single or cascading inference operations to video frames in real-time, and transmit inference results to the cloud for archiving or additional processing.
NVIDIA DeepStream embedded device deployment with Azure
In this module, you'll publish and deploy an ARM-based DeepStream container workload to NVIDIA embedded hardware by using Azure IoT Edge.
Object detection on Edge devices with Live Video Analytics using YOLO model
Use a Live Video Analytics module to deploy a machine learning solution to an IoT Edge device. The solution will process a video feed from cameras and detect objects at the edge using a YOLO model to perform inferencing operations. Check that the solution is successfully deployed and test your solution from a web application.
Object Detection Recognition and Tracking
Computer vision applications can automate and enhance the analysis and interpretation of visual data beyond human capabilities. This course will teach you how image classifiers can perform object detection recognition and tracking using Tensorflow.
Object detection with Faster R-CNN and PyTorch
Learn to implement object detection using Faster R-CNN with PyTorch. Discover how to train and deploy a high-performance object detection model for detecting and classifying objects in images and videos.
Object Detection with Tensorflow | Machine Learning | AI
Completely practical oriented with Realtime Dataset | No Coding Background Required | Anyone can Learn!
Object Tracking and Localization
Study methods for tracking and localizing objects in images and videos using computer vision techniques.
OpenAI API Coding with JavaScript
Leverage the OpenAI API within your JavaScript code. Learn to customize prompts and hyperparameters for optimal output.