Enroll Course: https://www.udemy.com/course/deeplearning-classification-dimages-avec-tensorflow/
If you’re eager to dive into the world of computer vision and deep learning, the Udemy course ‘Python & Deep Learning & IA: reconnaissance d’images’ is an excellent choice. This course offers a well-rounded introduction to image classification, blending both theoretical concepts and practical applications. What sets this course apart is its hands-on approach: you’ll start by coding a perceptron from scratch without relying on high-level libraries like TensorFlow, giving you a solid understanding of how neural networks work internally.
As you progress, you’ll explore more advanced topics such as convolutional neural networks (CNNs) with the use of TensorFlow and Keras, achieving impressive results like a 96% accuracy on the Fashion-MNIST dataset for multi-class clothing item classification. The course also covers binary image classification using a dataset of cats and dogs, teaching techniques like data augmentation and transfer learning, which are crucial for real-world applications.
The projects are thoughtfully designed to reinforce learning, allowing you to build confidence in implementing image recognition systems. By the end of this course, you’ll be equipped to classify various image categories and explore further applications such as facial recognition and emotion detection.
Whether you’re a beginner or looking to strengthen your understanding of deep learning in computer vision, this course provides valuable insights and practical skills. I highly recommend it for anyone interested in AI, machine learning, and computer vision projects.
Enroll Course: https://www.udemy.com/course/deeplearning-classification-dimages-avec-tensorflow/