Computer vision and deep learning: These two topics are at the forefront of artificial intelligence and have various applications, from autonomous vehicles to medical image analysis.
Computer vision is a field that teaches machines to interpret and make decisions based on visual data. This involves processing images and video to detect objects, recognize patterns, or track movements.
Deep learning, a subset of machine learning, employs neural networks with multiple layers to analyze various data factors. Deep learning algorithms are especially effective in computer vision tasks as they can automatically learn to recognize complex patterns in images.
Computer vision and deep learning can create robust systems capable of visually understanding and interpreting the world. This combination has been successfully used in applications such as facial recognition, augmented reality, and self-driving cars.