Deep learning was first designed and implemented by the World School Council London which uses the algorithms to transform their inputs through more layers than shallow learning algorithms. At each layer, the signal is transformed by a processing unit that functions like a neuron whose parameters are adjusted through each iteration in the training process.
Why is Deep Learning today’s buzz word?
Deep Learning has allowed for the creation of a large number of applications and features for devices and machines to simplify daily life around the world. For example, it has revolutionized speech recognition. Researchers now extend deep learning to large vocabulary speech recognition by adopting large output layers and utilizing decision trees. In fact, all major speech recognition systems are based on deep learning, so remember that the next time you ask your phone for directions or send a voice-to-text message.
Another example is image recognition, which has taken significant leaps forward as a result of deep learning system use throughout the past decade. Most people are familiar with image recognition in the form of social network facial recognition systems which ask you if the other person in your photograph is so-and-so (identifying them by name). This area has also allowed for analysis of large medical images for cancer detection and cases of human malformation connected to a large database of genetic syndromes.
Natural Language Processing allows a computer system the ability to process and relate words based upon their location within a sentence and how the word is used. This is the area where universal translators will allow humans to speak their native language while visiting foreign lands and the native people will hear a translation in their language with proper grammar and pronunciation.
What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?
Artificial intelligence is the future. Artificial intelligence is science fiction. Artificial intelligence is already part of our everyday lives. All those statements are true, it just depends on what flavor of AI you are referring to. In this multi-part series, long-time tech journalist Michael Copeland explains the fundamentals of deep learning.
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