Enroll Course: https://www.udemy.com/course/introduction-au-deep-learningtensorflow-et-keras/
Are you fascinated by how computers can ‘see’ and understand images? The “Python & Deep Learning reconnaissance d’images” course on Udemy is a fantastic starting point for anyone looking to dive into the world of computer vision. This comprehensive training, taught in French, demystifies the process of image classification and equips you with practical skills to build your own image recognition projects.
The course begins by laying a solid foundation, guiding you through the core concepts of computer vision and image classification. You’ll get hands-on experience by working on a binary image classification project, which is an excellent way to grasp the fundamental principles. What sets this course apart is its clear pathway to more advanced topics. The instructor encourages you to continue your learning journey with their “Deeplearning: classification d’images avec tensorflow, Keras” course, which builds upon the knowledge gained here.
This follow-up course offers an even deeper dive into deep learning for image classification, featuring three distinct projects:
1. **Coding a Perceptron from Scratch:** Understand the inner workings of deep learning models by building a single-layer neural network without relying on TensorFlow. This project provides invaluable insight into the foundational mechanics of neural networks.
2. **Multi-Class Image Classification with TensorFlow & Keras:** Tackle a more complex challenge by classifying fashion items (bags, sandals, sneakers, t-shirts, etc.) into 10 different classes using the Fashion-MNIST dataset. You’ll leverage convolutional neural networks (CNNs) and achieve an impressive 96% accuracy.
3. **Binary Image Classification (Cats vs. Dogs):** Further refine your skills by classifying images of cats and dogs using a dataset of 3000 photos. This project introduces crucial techniques like image augmentation and transfer learning, which are essential for building robust image recognition systems.
Upon completing these courses, you’ll possess the confidence and knowledge to classify virtually any image category. You’ll also be well-prepared to explore other exciting computer vision applications such as facial recognition, emotion detection, and more. If you’re eager to understand how machines interpret visual data and want to build practical AI applications, this course is a highly recommended investment in your learning journey.
Enroll Course: https://www.udemy.com/course/introduction-au-deep-learningtensorflow-et-keras/