Enroll Course: https://www.udemy.com/course/ittensive-machine-vision-recognition/
Embark on a fascinating journey into the world of computer vision with ITtensive’s comprehensive Udemy course, “Машинное зрение: распознавание объектов на Python” (Computer Vision: Object Recognition in Python). This course is an excellent starting point for anyone looking to understand and implement image recognition using neural networks in Python.
The course is structured into three main parts, offering a robust blend of theory and practical application. The first section lays a solid foundation in neural networks, covering essential concepts like neurons, layers, connections, backpropagation, and multilayer perceptrons. You’ll also delve into the nuances of training and optimizing these networks, including an in-depth look at Convolutional Neural Networks (CNNs) and popular architectures like LeNet, AlexNet, VGG, and ResNet.
The second part transitions into practical implementation, focusing on digit recognition using Python and Keras. This hands-on section covers the intricacies of working with digitized images, building and configuring neural network models and layers, data manipulation, image augmentation using generators, and the crucial concepts of training, testing, and validation datasets. You’ll explore various optimization functions, batch training, improving network performance through techniques like batch normalization, regularization, dropout, and weight initialization, and visualizing the training process.
The final part of the course tackles a real-world application: recognizing car license plates. You’ll learn to load, filter, and transform images, create training generators from directories, enhance image quality through contrast and sharpness adjustments, and perform image masking. The course culminates in recognizing one of 21 classes of images (digits and letters) and applying a trained model to real-world data. The capstone project involves building your own neural network capable of recognizing car license plates from photographs.
To access this course, interested learners need to contact support@ittensive.com with the course title or the group of courses they wish to enroll in. This course is highly recommended for its clear explanations, practical exercises, and the valuable project that solidifies learning. It provides a strong understanding of core computer vision concepts and equips you with the skills to build your own image recognition systems.
Enroll Course: https://www.udemy.com/course/ittensive-machine-vision-recognition/