Rekognition and Deep Learning
Deep learning is a branch of artificial intelligence and a subfield of machine learning. Deep learning works by inferring high-level abstractions from raw data by using a deep neural network graph with many layers of processing.
Deep learning structures such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have been employed in natural language processing, audio recognition, speech recognition, and computer vision to deliver significant results. Neural Machine Translation has replaced all human-curated translation engines, object detection in autonomous cars uses CNN-based architectures extensively, and conversational AI is powering a variety of customer interactions.
The Rekognition service employs deep learning to provide its various features behind the scenes. It uses pre-trained models so that users do not have to train the system. The exact details are proprietary and confidential to Amazon, but we will learn...