Search result for Object detection models Online Courses & Certifications
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Advanced Computer Vision with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.8
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Approx. 24 hours to complete
b) Apply object detection models such as regional-CNN and ResNet-50, customize existing models, and build your own models to detect, localize, and label your own rubber duck images. Classification and Object Detection Intro Object Detection Object Detection and Sliding Windows Read about the Object Detection API Use the Object Detection API...
Deep learning for object detection using Tensorflow 2
by Nour Islam Mokhtari- 4.4
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9.5 hours on-demand video
This course is designed to make you proficient in training and evaluating deep learning based object detection models. Building the necessary intuition that will help you answer most questions about object detection using deep learning, which is a very common topic in interviews for positions in the fields of computer vision and deep learning....
$12.99
YOLO v3 - Robust Deep Learning Object Detection in 1 hour
by Augmented Startups- 4.2
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2.5 hours on-demand video
Learn how we implemented YOLO V3 Deep Learning Object Detection Models From Training to Inference - Step-by-Step Annotation formats between various object detection models are quite different. This got us searching for a better way to manage the object detection workflow, that will not only help us better manage the object detection process but will also improve our time to market....
$12.99
Mask R-CNN - Practical Deep Learning Segmentation in 1 hour
by Augmented Startups- 4.1
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2 hours on-demand video
Learn how we implemented Mask R-CNN Deep Learning Object Detection Models From Training to Inference - Step-by-Step Annotation formats between various object detection models are quite different. This got us searching for a better way to manage the object detection workflow, that will not only help us better manage the object detection process but will also improve our time to market....
$12.99
Accelerate Deep Learning on Raspberry Pi
by Augmented Startups- 3.9
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2 hours on-demand video
How to Accelerate your AI Object Detection Models 5X faster on a Raspberry Pi 3, using Intel Movidius for Deep Learning Learn how we implemented Deep Learning Object Detection Models on Raspberry Pi and accelerated them with Intel Movidius Neural Compute Stick. Object Detection Models - Pros and Cons of each CNN,...
$16.99
Deep Learning for Computer Vision with Tensor Flow and Keras
by CARLOS QUIROS- 3.8
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12 hours on-demand video
ConvNets, VGG-16, ResNet, Inception, Faster R-CNN, TensorFlow Object Detection, YOLO v2-v3-v4. We will explore the concepts of Object Detecting and Transfer Learning using the last state of the art algorithms for object detection such as Faster R-CNN, TensorFlow Object Detection API and YOLO, applying this models on images, videos, and webcam images....
$17.99
Introduction to TensorFlow Lite
by Daniel Situnayake , Paige Bailey , Juan Delgado- 0.0
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Approx. 2 months
This course was created as a practical approach to model deployment for software developers, providing hands-on experience deploying deep learning models on Android, iOS, and even an embedded Linux platform. Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite....
Free
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Deep Learning in Computer Vision
by Anton Konushin , Alexey Artemov- 3.8
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Approx. 13 hours to complete
We will cover both image and video recognition, including image classification and annotation, object recognition and image search, various object detection techniques, motion estimation, object tracking in video, human action recognition, and finally image stylization, editing and new image generation. Color models Edge detection Object detection Object detection problem Object Detection...
Video Analytics using OpenCV and Python Shells
by EDU CBA- 3.9
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2 hours on-demand video
Object detection Blob detection Motion Detection Face detection...
$9.99
Convolutional Neural Networks
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
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Approx. 35 hours to complete
By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data. Object Detection Object Detection...
