Description
Deep learning for object detection using Tensorflow 2, the name of a course for understanding, training, and assessment models, Faster RCNN, SSD, and YOLO v3 using Tensorflow 2 and platform Google AI industry. This course is designed for this is up to you in the training and evaluation of models detect objects deep learning certified it. you are special models, Faster R-CNN, SSD, and YOLO will get to know. For each of these models, you will first landscape how to perform will see. This will help you when your perspective of how it works they create. After this, you’ll learn how the power of Tensorflow 2 for the training and assessment of these models, the personal device use.
What in the course Deep learning for object detection using Tensorflow 2 Learn:
- How to function neural networks deep, Faster RCNN
- How to function neural networks deep SSD
- How to function neural networks deep YOLO
- How to use the API object detection Tensorflow 2
- Training and evaluating neural networks deep to detect objects like Faster RCNN, SSD and YOLOv3 with the use of the data yourself
- Frozen your model to reach a final model to offer is ready
- How to use the model are frozen on your forecast on the number of image using openCV and Tensorflow 2
- How to use the platform Google Cloud AI for the model train detection objects on the graphics card, powerful, cloud
- Use Tensorboard to God, build, development, function, and loss, and the average amount of accuracy your model
- Change the parameter to improve the performance of the model in your
Specifications volume:
Publisher: Udemy
instructor: Nour Islam Mokhtari
language: English,
educational level: the average
number of courses: 68
time: 9 hours and 16 minutes
This course
Prerequisite course:
Images
Sample movie
Installation guide
After the Extract, watch with the Player you like.
Subtitles: English
Quality: 720
Download link
Password file(s): www.downloadly.ir
File size
4.8 GB