Deep learning for object detection using Tensorflow 2

Understand, train and evaluate Faster RCNN, SSD and YOLO v3 models using Tensorflow 2 and Google AI Platform
4.51 (311 reviews)
Udemy
platform
English
language
Data Science
category
Deep learning for object detection using Tensorflow 2
2,718
students
10 hours
content
Apr 2023
last update
$59.99
regular price

What you will learn

You will learn how Faster RCNN deep neural network works

You will learn how SSD deep neural network works

You will learn how YOLO deep neural network works

You will learn how to use Tensorflow 2 object detection API

You will learn how to train and evaluate deep neural networks for object detection such as Faster RCNN, SSD and YOLOv3 using your own custom data

You will learn how to "freeze" your model to get a final model that is ready for production

You will learn how to use your "frozen" model to make predictions on a set of new images using openCV and Tensorflow 2

You will learn how to use Google Cloud AI platform in order to train your object detection models on powerful cloud GPUs

You will learn how to use Tensorboard to visualize the development of the loss function and the mean average precision of your model

You will learn how to change different parameters in order to improve your model's performance

Screenshots

Deep learning for object detection using Tensorflow 2 - Screenshot_01Deep learning for object detection using Tensorflow 2 - Screenshot_02Deep learning for object detection using Tensorflow 2 - Screenshot_03Deep learning for object detection using Tensorflow 2 - Screenshot_04
3511868
udemy ID
9/19/2020
course created date
11/12/2020
course indexed date
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