Download Master Deep Learning for Computer Vision in TensorFlow

Description

Master Deep Learning for Computer Vision in TensorFlow (2023) is a deep learning and computer vision training course with the TensorFlow library published by Udemy Online Academy. Computer vision includes object recognition, classification and image generation, and counting people. This training course supports all necessary and important topics and will teach you all the basic principles with a step-by-step guide and in a project-oriented manner. In this training course, you will get to know the TensorFlow and Hugging Face software libraries, and you will start your work by building simple models until you can build very advanced models. By completing this training course and building different projects, you will have the necessary skills to develop different solutions for computer learning.

In this training course, you will learn the basics of TensorFlow software library, deep learning algorithms, evaluation of classified models, advanced concepts of TensorFlow software library, machine learning steps, object recognition with Yolo. You will learn about image segmentation with UNet, counting people and placing the model, etc. This training session will help you to improve your skills so that you can achieve your goals. This training course is recommended for amateur Python developers, people who want to learn the basic concepts of deep learning.

What you will learn in the Master Deep Learning for Computer Vision in TensorFlow (2023) course:

Basic principles of TensorFlow software library
Concepts of machine learning
Building advanced models of TensorFlow software library
Object recognition
Image segmentation with units (UNet)
And …

Course details

Publisher: Yudmi
teacher: Neurallearn Dot AI
English language
Training level: introductory to advanced
Number of courses: 218
Training duration: 71 hours