Udemy – Deep Learning for Object Detection with Tensorflow 2 2020-11

Description

Deep learning for object detection with Tensorflow 2, the name of a course on understanding, training and evaluating models, faster RCNN, SSD and YOLO v3 with Tensorflow 2 and the Google AI Industry platform. This course is designed to enable you to train and evaluate deep learning object recognition models. They are special models that will get to know R-CNN, SSD and YOLO more quickly. For each of these models, you will first learn how to display the landscape. This will help you as you create your perspective on how it works. You’ll then learn how to leverage the power of Tensorflow 2 to train and evaluate these models on your personal device.

What to learn in the Deep Learning course for object detection with Tensorflow 2:

This is how deep neural networks work, faster RCNN
This is how deep SSD neural networks work
How do deep neural networks YOLO work?
How to use Tensorflow 2 Object Detection API
Deeply train and evaluate neural networks to recognize objects like Faster RCNN, SSD and YOLOv3 using the data itself
Freezing your model to get a final model to quote is done
How you use the model depends on your prediction for the number of images with openCV and Tensorflow 2
How to use the Google Cloud AI platform for model railway recognition of objects on the graphics card, powerful, cloud
Use Tensorboard to determine the structure, evolution, function and loss, and average accuracy of your model.
Change the parameter to improve the performance of the model in your