Deep Learning is often confused with Machine Learning. The difference is that deep learning is a part of machine learning, an advanced technique for learning algorithms for making independent decisions, that is a part of the wider field of artificial intelligence.
Deep Learning automates tasks performed by human visual systems. DL provides an accurate classification of images, as well as object detection, image recovery and image segmentation. Even handwritten digits can be recognized.
The Google Translate app uses Deep Learning technology for visual translation. It uses the deepest neural networks to determine the word while scanning images.
Machines can not only to chat but also to perceive what you are saying. A good case is the LipNet system, which capable of recognizing speech by the lips not only by individual words but also immediately by entire sentences.
The system is taught, using 1000 examples of video. The model of the DL binds video to the database of the pre-recorded sounds, choosing the most similar one to the stage sound.
Machines study punctuation, grammar and style of fragments of text and this uses the model worked out for automatic creation of brand-new text with correct orthography, grammar and style.
Handwriting is given as a sequence of coordinates, used by the pen for creation of the sample of handwriting. From this, the relationship between the pen movement and the letters is learned and new examples can be created.
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