AI & deep learning
Noldus integrates deep learning into the software tools of EthoVision XT and FaceReader. The result is a robustness and accuracy in behavioral research. But what is deep learning? Read more below to learn:
- The differences among AI, machine learning, and deep learning
- How Noldus incorporates deep learning
- What this means for your research
Understanding AI, machine learning, and deep learning
Artificial intelligence (AI) refers to the broad discipline of creating systems that can perform tasks that typically require human intelligence. These tasks include problem-solving, understanding language, and visual perception. AI includes various approaches such as rule-based systems, statistical models, and machine learning to build systems that can mimic or enhance human cognitive abilities.
Machine learning (ML) is a subset of AI that focuses on developing algorithms that enable systems to learn from data and make decisions without being explicitly programmed. ML systems improve their performance over time by identifying patterns in the data and adjusting their behavior accordingly.
Deep learning (DL) is a specialized subset of machine learning that uses neural networks with many layers, which allows the system to automatically discover intricate patterns in large datasets, such as images or speech. DL models are particularly well-suited for complex tasks like image recognition, speech processing, and language translation.
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Deep learning in Noldus solutions
Deep learning tracking
With deep learning, EthoVision XT uses information from trained neural networks to assign body points, resulting in more accurate and stable results.
Deep Face
Deep learning allows FaceReader to accurately detect expressions and action units, resulting in the most robust facial expression tool available.
Smart Annotation Tool
Based on EthoVision's automatic behavior recognition module, the Smart Annotation Tool uses deep learning to automatically detect behavior in rodents.
Add deep learning to your facial expression analysis
Create your own custom expressions
Did you know that there are 28 naturally occurring expressions that can be distinguished by humans? Because many emotional expressions are dependent on the context and population, it can be beneficial to create your own custom expression that suits your application perfectly.
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