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

explanation

Deep Learning for Object Detection with Tensorflow 2, Faster RCNN, SSD and YOLO v3 Models with Tensorflow 2 and Platform Google AI Industry is the name of the course for Understanding, Training and Evaluating Models. The process depends on your choice to train and evaluate a deep learning-certified object detection model. You are a special model, so Faster R-CNN, SSD, and YOLO will know. For each model, let’s first look at how to do landscape mode. This will help you create a perspective on how they work. You will then learn the powerful features of Tensorflow 2 for training and evaluating these models, using your own devices.

Deep Learning for Object Detection with Tensorflow 2 Course Contents:

How deep neural networks work, Faster RCNN
How Neural Network Deep SSD Works
How Deep Neural Networks Work YOLO
How to use API object detection Tensorflow 2
Using data directly, we deeply train and evaluate neural networks to detect objects such as Faster RCNN, SSD, and YOLOv3.
The model was frozen to arrive at the final model to be presented.
The way I use the model is fixed on prediction over number of images using openCV and Tensorflow 2.
How to use the platform Google Cloud AI for graphics cards, model train detection objects in the powerful cloud
Use Tensorboard to build, develop, function, and loss models and increase average accuracy.
Change parameters to improve model performance.