Master Deep Learning for Computer Vision with TensorFlow 2
As one of the Best Online Tensorflow Courses, the purpose of this course is to address practical computer vision challenges as you examine fundamental Deep Learning techniques. The instructor will go through fundamental Machine Learning concepts including Neural Networks, Multi-class classification, Logistic Regression, and Linear Regression.
You must be interested in learning Deep Learning For Computer Vision and applying your knowledge to real-world issues if you've made it this far. You could already be familiar with machine learning, computer vision, or deep learning, or you might be learning about it for the first time. Regardless of where you started, you will be an expert with a lot of practical experience with TensorFlow after completing this course.
Using the information from this course, you will work on a variety of tasks such as object detection, image production, object counting, object identification, illness detection, picture segmentation, and more. Your comments and inquiries on the forum will help this course get better.
Requirements:
- Basic Math
- No Programming experience
Who this course is for:
- Beginner Python Developers curious about Applying Deep Learning for Computer vision
- Deep Learning for Computer vision Practitioners who want gain a mastery of how things work under the hood
- Anyone who wants to master deep learning fundamentals and also practice deep learning for computer vision using best practices in TensorFlow.
- Computer Vision practitioners who want to learn how state of art computer vision models are built and trained using deep learning.
Course Rating: 4.6/5
Enroll here: https://www.udemy.com/course/master-deep-learning-for-computer-vision-with-tensorflow-2/
