Question

which are common applications of deep learning in artificial intelligence?
1. image processing, language translation and complex game play
2. image processing and speech recognition
3. image processing, speech recognition, and natural language processing
4. language translation and complex game play​

Answer 1

Answer:

3. image processing, speech recognition, and natural language processing

Answer 2

Answer:

The correct option is:

3) image processing, speech recognition, and natural language processing.

Explanation:

Concept Introduction: Artificial intelligence is the way of the life.

• Image Processing: Computer vision is based on pattern recognition and deep learning to recognize images or videos. If a machine can process, analyze, and understand images, it can capture images or video in real-time and interpret its environment.
• Speech Recognition: Deep learning uses huge neural networks with multiple layers of processing units to learn complex patterns from large amounts of data, leveraging advances in computing power and improved learning methods.  Typical applications include image and speech recognition.
• Natural Language Processing: Natural language processing is the ability of computers to parse, understand, and generate human language, including speech. The next step in NLP is natural language interaction, which allows people to use everyday language to communicate with computers to complete tasks.

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