Description
Deep learning for object detection using Tensorflow 2 is the name of a course for understanding, training and evaluating Faster RCNN, SSD and YOLO v3 models using Tensorflow 2 and the Google AI platform. This course is designed to make you an expert in training and evaluating your deep learning object recognition models, you will be specifically introduced to Faster R-CNN, SSD and YOLO models. For each of these models, you will first see an overview of how they work. This will help you get an idea of how they work. You will then learn how to use the power of Tensorflow 2 to train and evaluate these models on your own device.
What you will learn in the Deep learning for object detection using Tensorflow 2 course:
- How Faster RCNN deep neural networks work
- How SSD deep neural networks work
- How YOLO deep neural networks work
- How to use the Tensorflow 2 Object Detection API
- Training and evaluation of deep neural networks for object detection such as Faster RCNN, SSD and YOLOv3 using your own data
- Freeze your model to achieve a final model that is ready for presentation
- How to use your frozen model to make predictions on a number of images using openCV and Tensorflow 2
- How to use the Google Cloud AI platform to train your object recognition models on powerful cloud graphics cards
- Using Tensorboard to visualize the development of the loss function and the average accuracy of your model
- Change parameters to improve the performance of your model
Course details:
Publisher: Udemy
teacher: Nour Islam Mokhtari
English language
Education level: Intermediate
Number of courses: 68
Duration: 9 hours and 16 minutes
Course headings
Course prerequisites:
You need to have a basic level of Python (if you know what classes and functions are then you are good to go!)
You need to have a basic understanding of what Tensorflow is.
You don’t need any prior understanding of what object detection is, this is the mission of the course!
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720
download link
Password file(s): www.downloadly.ir
Size
4.8 GB
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