Computer Vision with TensorFlow and Keras

Unlock the power of computer vision and learn to build intelligent systems that can 'see' and interpret images. This course provides a solid foundation in the core concepts of computer vision, focusing on practical application through the widely-used TensorFlow and Keras libraries. You will understand how to process visual data and develop models capable of recognizing patterns and making predictions. What you'll learn: * Understand the fundamental principles of computer vision and image processing. * Build Convolutional Neural Networks (CNNs) from scratch using TensorFlow and Keras. * Learn to prepare and preprocess image data for effective model training. * Apply CNNs to solve common image classification and recognition challenges. * Explore modern techniques for improving model performance and generalization. * Gain practical experience in setting up and running deep learning models for visual tasks. This course guides you through the essential components of computer vision, starting with basic definitions and progressing to building and evaluating your own neural networks. It is designed for beginners with no prior experience in computer vision or deep learning, requiring only basic programming knowledge. Start your journey into the exciting field of computer vision today.