Enroll Course: https://www.udemy.com/course/objectdetection/
If you’re looking to delve into the world of object detection using deep learning, the course ‘Object Detection on Custom Dataset With Keras Using Python’ on Udemy is an excellent choice. Designed for both beginners and intermediate learners, this course offers a practical, hands-on approach to building advanced computer vision models. One of the standout features of this course is its emphasis on real-world applicability — you don’t need a high-end workstation to participate, as all work is carried out in the free Google Colab environment. This makes it accessible for learners with modest hardware setups.
The course guides you through creating a Vision Transformer in Keras with a TensorFlow backend, from scratch. You will learn to prepare your dataset, visualize data, and train a deep learning model capable of performing object detection tasks. The instructor explains each step clearly, ensuring you understand the underlying concepts and programming involved. By the end of the course, you’ll be able to develop, train, and deploy your own object detection models, which can be a valuable addition to your portfolio.
What makes this course highly recommended is its practical focus and industry relevance. Whether you’re aiming to enhance your skills for a job in AI/ML or looking to implement object detection in your projects, this course provides a solid foundation. Plus, the skills acquired can significantly boost your earning potential, considering that deep learning engineers earn an average salary of around $144,000.
In summary, this course is an excellent investment for anyone interested in computer vision, offering accessible, practical training with real-world applications. No prior experience with object detection is necessary, just a willingness to learn and experiment. I highly recommend this course for its clarity, practicality, and industry relevance.
Enroll Course: https://www.udemy.com/course/objectdetection/